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| 1. Introduction and Scope.mp4 |
219.25Мб |
| 1. Introduction to Computational and Systems Biology.mp4 |
135.61Мб |
| 1. Signals and Systems.mp4 |
121.62Мб |
| 1. What Makes Healthcare Unique.mp4 |
467.42Мб |
| 10. Application of Machine Learning to Cardiac Imaging.mp4 |
373.06Мб |
| 10. Feedback and Control.mp4 |
76.42Мб |
| 10. Introduction to Learning, Nearest Neighbors.mp4 |
464.73Мб |
| 10. Markov and Hidden Markov Models of Genomic and Protein Features.mp4 |
493.73Мб |
| 11. Continuous-Time (CT) Frequency Response and Bode Plot.mp4 |
129.61Мб |
| 11. Differential Diagnosis.mp4 |
312.63Мб |
| 11. Learning - Identification Trees, Disorder.mp4 |
246.20Мб |
| 11. RNA Secondary Structure; Biological Functions and Predictions.mp4 |
645.04Мб |
| 12. Continuous-Time (CT) Feedback and Control, Part 1.mp4 |
113.16Мб |
| 12. Introduction to Protein Structure; Structure Comparison and Classification.mp4 |
266.54Мб |
| 12. Machine Learning for Pathology.mp4 |
316.41Мб |
| 12a - Neural Nets.mp4 |
226.45Мб |
| 12b - Deep Neural Nets.mp4 |
208.38Мб |
| 13. Continuous-Time (CT) Feedback and Control, Part 2.mp4 |
126.12Мб |
| 13. Learning - Genetic Algorithms.mp4 |
231.80Мб |
| 13. Machine Learning for Mammography.mp4 |
120.72Мб |
| 13. Predicting Protein Structure.mp4 |
173.31Мб |
| 14. Causal Inference, Part 1.mp4 |
642.91Мб |
| 14. Fourier Representations.mp4 |
120.92Мб |
| 14. Learning - Sparse Spaces, Phonology.mp4 |
215.63Мб |
| 14. Predicting Protein Interactions.mp4 |
570.86Мб |
| 15. Causal Inference, Part 2.mp4 |
111.41Мб |
| 15. Fourier Series.mp4 |
124.54Мб |
| 15. Gene Regulatory Networks.mp4 |
442.43Мб |
| 15. Learning - Near Misses, Felicity Conditions.mp4 |
423.84Мб |
| 16. Fourier Transform.mp4 |
109.86Мб |
| 16. Learning - Support Vector Machines.mp4 |
157.09Мб |
| 16. Protein Interaction Networks.mp4 |
203.22Мб |
| 16. Reinforcement Learning, Part 1.mp4 |
288.54Мб |
| 17. Discrete-Time (DT) Frequency Representations.mp4 |
136.85Мб |
| 17. Learning - Boosting.mp4 |
233.46Мб |
| 17. Logic Modeling of Cell Signaling Networks.mp4 |
666.61Мб |
| 17. Reinforcement Learning, Part 2.mp4 |
434.65Мб |
| 18. Analysis of Chromatin Structure.mp4 |
424.63Мб |
| 18. Discrete-Time (DT) Fourier Representations.mp4 |
129.74Мб |
| 18. Disease Progression Modeling and Subtyping, Part 1.mp4 |
531.31Мб |
| 18. Representations - Classes, Trajectories, Transitions.mp4 |
224.37Мб |
| 19. Architectures - GPS, SOAR, Subsumption, Society of Mind.mp4 |
472.85Мб |
| 19. Discovering Quantitative Trait Loci (QTLs).mp4 |
782.59Мб |
| 19. Disease Progression Modeling and Subtyping, Part 2.mp4 |
422.31Мб |
| 19. Relations Among Fourier Representations.mp4 |
126.17Мб |
| 2. Discrete-Time (DT) Systems.mp4 |
115.14Мб |
| 2. Local Alignment (BLAST) and Statistics.mp4 |
542.58Мб |
| 2. Overview of Clinical Care.mp4 |
464.63Мб |
| 2. Reasoning - Goal Trees and Problem Solving.mp4 |
466.99Мб |
| 20. Applications of Fourier Transforms.mp4 |
125.21Мб |
| 20. Human Genetics, SNPs, and Genome Wide Associate Studies.mp4 |
465.82Мб |
| 20. Precision Medicine.mp4 |
421.42Мб |
| 21. Automating Clinical Work Flows.mp4 |
315.87Мб |
| 21. Probabilistic Inference I.mp4 |
388.97Мб |
| 21. Sampling.mp4 |
128.25Мб |
| 21. Synthetic Biology - From Parts to Modules to Therapeutic Systems.mp4 |
228.28Мб |
| 22. Causality, Natural Computing, and Engineering Genomes.mp4 |
587.29Мб |
| 22. Probabilistic Inference II.mp4 |
358.47Мб |
| 22. Regulation of Machine Learning _ Artificial Intelligence in the US.mp4 |
561.65Мб |
| 22. Sampling and Quantization.mp4 |
109.71Мб |
| 23. Fairness.mp4 |
312.66Мб |
| 23. Model Merging, Cross-Modal Coupling, Course Summary.mp4 |
128.95Мб |
| 23. Modulation, Part 1.mp4 |
114.97Мб |
| 24. Modulation, Part 2.mp4 |
97.21Мб |
| 24. Robustness to Dataset Shift.mp4 |
350.52Мб |
| 25. Audio CD.mp4 |
117.23Мб |
| 25. Interpretability.mp4 |
340.54Мб |
| 3. Deep Dive Into Clinical Data.mp4 |
457.12Мб |
| 3. Feedback, Poles, and Fundamental Modes.mp4 |
119.35Мб |
| 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM).mp4 |
510.98Мб |
| 3. Reasoning - Goal Trees and Rule-Based Expert Systems.mp4 |
217.63Мб |
| 4. Comparative Genomic Analysis of Gene Regulation.mp4 |
511.20Мб |
| 4. Continuous-Time (CT) Systems.mp4 |
131.26Мб |
| 4. Risk Stratification, Part 1.mp4 |
543.25Мб |
| 4. Search - Depth-First, Hill Climbing, Beam.mp4 |
429.07Мб |
| 5. Library Complexity and Short Read Alignment (Mapping).mp4 |
662.88Мб |
| 5. Risk Stratification, Part 2.mp4 |
509.63Мб |
| 5. Search - Optimal, Branch and Bound, A.mp4 |
435.71Мб |
| 5. Z Transform.mp4 |
119.50Мб |
| 6. Genome Assembly.mp4 |
314.15Мб |
| 6. Laplace Transform.mp4 |
104.10Мб |
| 6. Physiological Time-Series.mp4 |
399.08Мб |
| 6. Search - Games, Minimax, and Alpha-Beta.mp4 |
454.16Мб |
| 7. ChIP-seq Analysis; DNA-protein Interactions.mp4 |
284.12Мб |
| 7. Constraints - Interpreting Line Drawings.mp4 |
457.28Мб |
| 7. Discrete Approximation of Continuous-Time Systems.mp4 |
111.78Мб |
| 7. Natural Language Processing (NLP), Part 1.mp4 |
436.51Мб |
| 8. Constraints - Search, Domain Reduction.mp4 |
119.14Мб |
| 8. Convolution.mp4 |
129.46Мб |
| 8. Natural Language Processing (NLP), Part 2.mp4 |
394.60Мб |
| 8. RNA-sequence Analysis - Expression, Isoforms.mp4 |
499.07Мб |
| 9. Constraints - Visual Object Recognition.mp4 |
133.54Мб |
| 9. Frequency Response.mp4 |
122.87Мб |
| 9. Modeling and Discovery of Sequence Motifs.mp4 |
643.97Мб |
| 9. Translating Technology Into the Clinic.mp4 |
641.02Мб |
| Addition rule for probability _ Probability and Statistics _ Khan Academy.mp4 |
13.94Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 1.mp4 |
237.17Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 10.mp4 |
220.33Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 11.mp4 |
225.94Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 12.mp4 |
224.23Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 13.mp4 |
221.86Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 15.mp4 |
225.77Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 16.mp4 |
221.06Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 17.mp4 |
228.65Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 18.mp4 |
222.29Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 19.mp4 |
215.61Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 2.mp4 |
263.93Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 20.mp4 |
224.50Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 21.mp4 |
233.95Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 22.mp4 |
212.15Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 23.mp4 |
226.66Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 24.mp4 |
224.80Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 25.mp4 |
228.18Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 26.mp4 |
225.01Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 3.mp4 |
240.85Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 4.mp4 |
231.44Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 5.mp4 |
212.84Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 6.mp4 |
220.04Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 7.mp4 |
228.55Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 8.mp4 |
217.42Мб |
| Advanced Algorithms (COMPSCI 224), Lecture 9.mp4 |
222.31Мб |
| An Introduction To NoSQL Databases.mp4 |
22.53Мб |
| Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18.mp4 |
28.93Мб |
| Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka.mp4 |
661.16Мб |
| AVL 1 Introduction.mp4 |
31.45Мб |
| AVL Tree 2 Nodes.mp4 |
30.10Мб |
| AVL Tree 3 Adding a node.mp4 |
33.65Мб |
| AVL Tree 4 recursive add for an AVL tree.mp4 |
52.25Мб |
| AVL Tree 5 checking balance in an AVL tree.mp4 |
37.28Мб |
| AVL Tree 6 Rebalancing AVL trees.mp4 |
50.38Мб |
| AVL Tree 7 complete example of adding data to an AVL tree..mp4 |
59.54Мб |
| Barack Obama - Intro to Deep Learning _ MIT 6.S191.mp4 |
4.63Мб |
| Basics of OS (Computer System Operation).mp4 |
37.36Мб |
| Basics of OS (I_O Structure).mp4 |
30.96Мб |
| Basics of OS (Storage Structure).mp4 |
15.95Мб |
| Big Bang Model.mp4 |
20.46Мб |
| Big O Notations.mp4 |
42.18Мб |
| Binomial Distribution 1.mp4 |
12.01Мб |
| Binomial Distribution 2.mp4 |
11.98Мб |
| Binomial Distribution 3.mp4 |
13.99Мб |
| Binomial Distribution 4.mp4 |
10.04Мб |
| Bioinformatics in Python - Development Tools Setup..mp4 |
47.95Мб |
| Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides..mp4 |
29.73Мб |
| Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement..mp4 |
42.17Мб |
| Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation..mp4 |
37.16Мб |
| Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage..mp4 |
32.58Мб |
| Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames..mp4 |
21.45Мб |
| Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame..mp4 |
38.40Мб |
| Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database..mp4 |
41.26Мб |
| Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class..mp4 |
56.55Мб |
| Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class..mp4 |
65.74Мб |
| Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions..mp4 |
51.33Мб |
| Bioinformatics in Python - Intro.mp4 |
38.45Мб |
| Bioinformatics Tips & Tricks - Hamming Distance.mp4 |
25.38Мб |
| Birthday probability problem _ Probability and Statistics _ Khan Academy.mp4 |
13.80Мб |
| Black Box Testing.mp4 |
41.43Мб |
| Bloom Filters.mp4 |
122.77Мб |
| Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2.mp4 |
35.95Мб |
| C++ Tutorial.mp4 |
50.84Мб |
| C++ Tutorial 10 - Object Oriented Programming.mp4 |
190.74Мб |
| C++ Tutorial 11 - Polymorphism.mp4 |
29.09Мб |
| C++ Tutorial 12 - Operator Overloading & File I_O.mp4 |
47.19Мб |
| C++ Tutorial 13 - Advanced Functions.mp4 |
29.27Мб |
| C++ Tutorial 14 - Templates & Iterators.mp4 |
34.52Мб |
| C++ Tutorial 15 - Smart Pointers & Polymorphic Templates.mp4 |
25.30Мб |
| C++ Tutorial 16 - C++ Threads.mp4 |
47.43Мб |
| C++ Tutorial 17 - Sequence Containers.mp4 |
37.22Мб |
| C++ Tutorial 18 - Associative Containers & Container Adapters.mp4 |
33.04Мб |
| C++ Tutorial 19 - C++ Regular Expressions.mp4 |
44.48Мб |
| C++ Tutorial 20 - C++ Regex 2.mp4 |
22.98Мб |
| C++ Tutorial 21 - C++ Regex 3.mp4 |
28.63Мб |
| C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops.mp4 |
50.72Мб |
| C++ Tutorial 3 - Pointers & Functions.mp4 |
54.58Мб |
| C++ Tutorial 4 - Exception Handling & Looping.mp4 |
101.13Мб |
| C++ Tutorial 5 - Strings & Math.mp4 |
44.18Мб |
| C++ Tutorial 6 - Solving Problems.mp4 |
43.38Мб |
| C++ Tutorial 7 - Solving Problems.mp4 |
43.17Мб |
| C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions.mp4 |
51.55Мб |
| C++ Tutorial 9 - Lambda Expressions.mp4 |
43.97Мб |
| Calclulus II - 10.1.2 Parabolas.mp4 |
27.81Мб |
| Calculus 1.1 A Preview of Calculus.mp4 |
21.99Мб |
| Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically.mp4 |
42.57Мб |
| Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist.mp4 |
25.41Мб |
| Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit.mp4 |
44.32Мб |
| Calculus 1.3.1 Evaluating Limits Using Properties of Limits.mp4 |
33.52Мб |
| Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing.mp4 |
30.34Мб |
| Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem.mp4 |
18.71Мб |
| Calculus 1.4.1 Continuity on Open Intervals.mp4 |
36.03Мб |
| Calculus 1.4.2 Continuity on Closed Intervals.mp4 |
18.61Мб |
| Calculus 1.4.3 Properties of Continuity.mp4 |
11.98Мб |
| Calculus 1.4.4 The Intermediate Value Theorem.mp4 |
23.79Мб |
| Calculus 1.5.1 Determine Infinite Limits.mp4 |
14.76Мб |
| Calculus 1.5.2 Determine Vertical Asymptotes.mp4 |
30.37Мб |
| Calculus 2.1.1 Find the Slope of a Tangent Line.mp4 |
52.51Мб |
| Calculus 2.1.2 Derivatives Using the Limit Definition.mp4 |
39.74Мб |
| Calculus 2.1.3 Differentiability and Continuity.mp4 |
26.82Мб |
| Calculus 2.2.1 Basic Differentiation Rules.mp4 |
45.95Мб |
| Calculus 2.2.2 Rates of Change.mp4 |
40.94Мб |
| Calculus 2.3.1 The Product and Quotient Rules.mp4 |
32.78Мб |
| Calculus 2.3.2 Derivatives of Trigonometric Functions.mp4 |
8.07Мб |
| Calculus 2.3.3 Higher Order Derivatives.mp4 |
25.08Мб |
| Calculus 2.4.1 The Chain Rule.mp4 |
45.65Мб |
| Calculus 2.4.2 The General Power Rule.mp4 |
21.85Мб |
| Calculus 2.4.3 Simplifying Derivatives.mp4 |
24.58Мб |
| Calculus 2.4.4 Trigonometric Functions and the Chain Rule.mp4 |
7.07Мб |
| Calculus 2.5.1 Implicit and Explicit Functions.mp4 |
21.20Мб |
| Calculus 2.5.2 Implicit Differentiation.mp4 |
39.68Мб |
| Calculus 3.1.1 Extrema of a Function on an Interval.mp4 |
20.83Мб |
| Calculus 3.1.2 Relative Extrema of a Function on an Open Interval.mp4 |
35.74Мб |
| Calculus 3.1.3 Find Extrema on a Closed Interval.mp4 |
26.66Мб |
| Calculus 3.2.1 Rolle’s Theorem.mp4 |
38.91Мб |
| Calculus 3.2.2 The Mean Value Theorem.mp4 |
41.18Мб |
| Calculus 3.3.1 Increasing and Decreasing Intervals.mp4 |
55.73Мб |
| Calculus 3.3.2 The First Derivative Test.mp4 |
39.00Мб |
| Calculus 3.4.1 Intervals of Concavity.mp4 |
30.10Мб |
| Calculus 3.4.2 Points of Inflection.mp4 |
17.48Мб |
| Calculus 3.4.3 The Second Derivative Test.mp4 |
19.68Мб |
| Calculus 3.4.4 Putting It All Together.mp4 |
39.65Мб |
| Calculus 3.5.1 Determine Finite Limits at Infinity.mp4 |
15.63Мб |
| Calculus 3.5.2 Determine Horizontal Asymptotes of a Function.mp4 |
39.03Мб |
| Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples.mp4 |
25.99Мб |
| Calculus 3.5.4 Determine Infinite Limits at Infinity.mp4 |
6.27Мб |
| Calculus 3.6.1 A Summary of Curve Sketching.mp4 |
59.67Мб |
| Calculus 3.6.2 Curve Sketching - Full Practice.mp4 |
49.27Мб |
| Calculus 3.7.1 Optimization Problems.mp4 |
53.46Мб |
| Calculus 3.7.2 Optimization Practice.mp4 |
64.22Мб |
| Calculus 4.1.1 Antiderivatives.mp4 |
38.35Мб |
| Calculus 4.1.2 Basic Integration Rules.mp4 |
10.23Мб |
| Calculus 4.1.3 Find Particular Solutions to Differential Equations.mp4 |
43.64Мб |
| Calculus 4.2.1 Sigma Notation.mp4 |
37.62Мб |
| Calculus 4.2.2 The Concept of Area.mp4 |
16.10Мб |
| Calculus 4.2.3 The Approximate Area of a Plane Region.mp4 |
85.20Мб |
| Calculus 4.2.4 Finding Area By The Limit Definition.mp4 |
46.87Мб |
| Calculus 4.3.1 Riemann Sums.mp4 |
27.02Мб |
| Calculus 4.3.2 Definite Integrals.mp4 |
35.60Мб |
| Calculus 4.3.3 Properties of Definite Integrals.mp4 |
19.97Мб |
| Calculus 4.4.1 The Fundamental Theorem of Calculus.mp4 |
60.97Мб |
| Calculus 4.4.2 The Mean Value Theorem for Integrals.mp4 |
15.47Мб |
| Calculus 4.4.3 The Average Value of a Function.mp4 |
8.60Мб |
| Calculus 4.4.4 The Second Fundamental Theorem of Calculus.mp4 |
20.04Мб |
| Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals.mp4 |
34.13Мб |
| Calculus 4.5.2 Change of Variables for Indefinite Integrals.mp4 |
72.38Мб |
| Calculus 5.1.1 Properties of the Natural Logarithmic Function.mp4 |
52.24Мб |
| Calculus 5.1.2 The Number e.mp4 |
9.06Мб |
| Calculus 5.1.3 The Derivative of the Natural Logarithmic Function.mp4 |
36.82Мб |
| Calculus 5.2.1 The Log Rule for Integration.mp4 |
56.63Мб |
| Calculus 5.2.2 Integrals of Trigonometric Functions.mp4 |
6.26Мб |
| Calculus 5.3.1 Verify Functions are Inverses of One Another.mp4 |
28.65Мб |
| Calculus 5.3.2 Determine Whether a Function Has An Inverse.mp4 |
26.67Мб |
| Calculus 5.3.3 Find the Inverse of a Function.mp4 |
9.99Мб |
| Calculus 5.3.4 Find the Derivative of an Inverse of a Function.mp4 |
24.98Мб |
| Calculus 5.4.1 The Natural Exponential Function.mp4 |
40.26Мб |
| Calculus 5.4.2 Derivatives of the Natural Exponential Function.mp4 |
8.14Мб |
| Calculus 5.4.3 Integrals of the Natural Exponential Function.mp4 |
18.49Мб |
| Calculus 5.5.1 Exponential Functions with Bases Other than e.mp4 |
46.29Мб |
| Calculus 5.5.2 Differentiate and Integrate with Bases Other than e.mp4 |
36.25Мб |
| Calculus 5.5.3 Applications of Bases Other than e.mp4 |
25.49Мб |
| Calculus 5.6.1 Indeterminate Forms.mp4 |
15.06Мб |
| Calculus 5.6.2 L’Hôpital’s Rule.mp4 |
28.32Мб |
| Calculus 5.7.1 Inverse Trigonometric Functions.mp4 |
64.05Мб |
| Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions.mp4 |
20.23Мб |
| Calculus 5.8.1 Integrate Inverse Trigonometric Functions.mp4 |
30.24Мб |
| Calculus 5.8.2 Integrate Using the Completing the Square Technique.mp4 |
19.45Мб |
| Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle).mp4 |
11.57Мб |
| Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere).mp4 |
9.89Мб |
| Calculus I - 2.6.3 Related Rates - Modeling with Triangles.mp4 |
36.03Мб |
| Calculus II - 10.1.1 An Introduction to Conic Sections.mp4 |
12.93Мб |
| Calculus II - 10.1.3 Ellipses.mp4 |
29.42Мб |
| Calculus II - 10.1.4 Hyperbolas.mp4 |
16.86Мб |
| Calculus II - 10.2.1 Plane Curves and Parametric Equations.mp4 |
32.87Мб |
| Calculus II - 10.2.2 Finding Parametric Equations.mp4 |
12.13Мб |
| Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations.mp4 |
40.47Мб |
| Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion.mp4 |
40.55Мб |
| Calculus II - 10.4.2 Polar Graphs.mp4 |
16.72Мб |
| Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations.mp4 |
42.78Мб |
| Calculus II - 6.1.1 General and Particular Solutions to Differential Equations.mp4 |
29.72Мб |
| Calculus II - 6.1.2 Slope Fields.mp4 |
6.70Мб |
| Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation.mp4 |
22.70Мб |
| Calculus II - 6.2.2 Models of Exponential Growth and Decay.mp4 |
50.12Мб |
| Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions.mp4 |
25.33Мб |
| Calculus II - 6.3.2 The Logistic Differential Equation.mp4 |
26.71Мб |
| Calculus II - 6.4.1 First Order Linear Differential Equations.mp4 |
33.24Мб |
| Calculus II - 7.1.1 Finding The Area Under a Curve.mp4 |
11.83Мб |
| Calculus II - 7.1.2 Finding the Area Between Two Curves.mp4 |
42.49Мб |
| Calculus II - 7.1.3 Applications Involving the Area Between Two Curves.mp4 |
11.54Мб |
| Calculus II - 7.2.1 Finding Volume Using the Disk Method.mp4 |
42.01Мб |
| Calculus II - 7.2.2 Finding Volume Using the Washer Method.mp4 |
45.34Мб |
| Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections.mp4 |
27.81Мб |
| Calculus II - 7.3.1 Finding Volume Using the Shell Method.mp4 |
46.54Мб |
| Calculus II - 7.3.2 Disk Method vs. Shell Method.mp4 |
23.22Мб |
| Calculus II - 7.4.1 Finding Arc Length.mp4 |
33.33Мб |
| Calculus II - 7.4.2 Surfaces of Revolution.mp4 |
28.34Мб |
| Calculus II - 7.5.1 Work, Work, Work.mp4 |
41.32Мб |
| Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System.mp4 |
24.45Мб |
| Calculus II - 7.6.2 Center of Mass of a Planar Lamina.mp4 |
42.27Мб |
| Calculus II - 7.7.1 Fluid Pressure and Fluid Force.mp4 |
34.61Мб |
| Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules.mp4 |
23.96Мб |
| Calculus II - 8.2.1 Integration by Parts.mp4 |
29.89Мб |
| Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine.mp4 |
31.92Мб |
| Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent.mp4 |
46.05Мб |
| Calculus II - 8.4.1 Trigonometric Substitution.mp4 |
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| Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate.mp4 |
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| Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate.mp4 |
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| Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals.mp4 |
33.95Мб |
| Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals.mp4 |
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| Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration.mp4 |
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| Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities.mp4 |
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| Calculus II - 9.1.1 The Limit of a Sequence.mp4 |
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| Calculus II - 9.1.2 Pattern Recognition for Sequences.mp4 |
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| Calculus II - 9.1.3 Monotonic and Bounded Sequences.mp4 |
18.52Мб |
| Calculus II - 9.10.1 The Taylor and Maclaurin Series.mp4 |
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| Calculus II - 9.10.2 The Binomial Series.mp4 |
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| Calculus II - 9.10.3 Use The Power Series for Elementary Functions.mp4 |
13.55Мб |
| Calculus II - 9.2.1 Infinite Series.mp4 |
15.71Мб |
| Calculus II - 9.2.2 The Geometric Series.mp4 |
41.16Мб |
| Calculus II - 9.2.3 The nth Term Test for Divergence.mp4 |
13.61Мб |
| Calculus II - 9.3.1 The Integral Test.mp4 |
25.81Мб |
| Calculus II - 9.3.2 The p-Series.mp4 |
13.34Мб |
| Calculus II - 9.4.1 The Direct Comparison Test.mp4 |
47.45Мб |
| Calculus II - 9.4.2 The Limit Comparison Test.mp4 |
27.46Мб |
| Calculus II - 9.5.1 The Alternating Series Test.mp4 |
16.81Мб |
| Calculus II - 9.5.2 The Alternating Series Remainder.mp4 |
22.02Мб |
| Calculus II - 9.5.3 Absolute and Conditional Convergence.mp4 |
23.75Мб |
| Calculus II - 9.6.1 The Ratio Test.mp4 |
30.43Мб |
| Calculus II - 9.6.2 The Root Test.mp4 |
11.61Мб |
| Calculus II - 9.8.1 The Power Series L=0 or L=Inf.mp4 |
30.42Мб |
| Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence.mp4 |
37.22Мб |
| Calculus II - 9.9.1 Represent Functions with the Geometric Power Series.mp4 |
35.83Мб |
| Calculus II - 9.9.2 Operations with The Geometric Power Series.mp4 |
33.88Мб |
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13.61Мб |
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30.33Мб |
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211.76Мб |
| Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13.mp4 |
12.33Мб |
| Clustering Introduction - Practical Machine Learning Tutorial with Python p.34.mp4 |
77.96Мб |
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91.17Мб |
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9.58Мб |
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10.04Мб |
| Command Line Interface (CLI).mp4 |
51.76Мб |
| Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28.mp4 |
115.71Мб |
| Complexity 1 Introduction to complexity.mp4 |
85.48Мб |
| Complexity 2 Big Oh Notation.mp4 |
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| Complexity 3 Some examples of big-Oh notation.mp4 |
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48.55Мб |
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23.66Мб |
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| Conditional probability and combinations _ Probability and Statistics _ Khan Academy.mp4 |
19.32Мб |
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| Context Switch.mp4 |
19.07Мб |
| Convolutional Neural Networks _ MIT 6.S191.mp4 |
132.30Мб |
| Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12.mp4 |
12.46Мб |
| Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13.mp4 |
195.09Мб |
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30.51Мб |
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508.48Мб |
| C Programming Tutorial for Beginners.mp4 |
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17.07Мб |
| Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25.mp4 |
18.53Мб |
| Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4.mp4 |
143.24Мб |
| Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16.mp4 |
17.07Мб |
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43.32Мб |
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155.17Мб |
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77.74Мб |
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38.68Мб |
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5.68Гб |
| Data Dictionary.mp4 |
43.85Мб |
| Data Flow Diagram.mp4 |
59.78Мб |
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823.34Мб |
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4.46Мб |
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29.11Мб |
| Deep Generative Modeling _ MIT 6.S191.mp4 |
93.57Мб |
| Deep Learning New Frontiers _ MIT 6.S191.mp4 |
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| Deep Learning with Neural Networks and TensorFlow Introduction.mp4 |
40.22Мб |
| Deep Q Learning w_ DQN - Reinforcement Learning p.5.mp4 |
74.36Мб |
| Dependent probability example _ Probability and Statistics _ Khan Academy.mp4 |
15.39Мб |
| Dependent probability example 2 _ Probability and Statistics _ Khan Academy.mp4 |
20.73Мб |
| Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions.mp4 |
47.50Мб |
| Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals.mp4 |
47.99Мб |
| Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions.mp4 |
25.18Мб |
| Discrete Math 1.2.1 - Translating Propositional Logic Statements.mp4 |
24.73Мб |
| Discrete Math - 1.2.2 Solving Logic Puzzles.mp4 |
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| Discrete Math - 1.2.3 Introduction to Logic Circuits.mp4 |
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| Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables.mp4 |
38.73Мб |
| Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws.mp4 |
23.66Мб |
| Discrete Math - 1.3.3 Constructing New Logical Equivalences.mp4 |
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| Discrete Math - 1.4.1 Predicate Logic.mp4 |
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| Discrete Math - 1.4.2 Quantifiers.mp4 |
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| Discrete Math - 1.4.3 Negating and Translating with Quantifiers.mp4 |
44.79Мб |
| Discrete Math - 1.5.1 Nested Quantifiers and Negations.mp4 |
41.03Мб |
| Discrete Math - 1.5.2 Translating with Nested Quantifiers.mp4 |
54.67Мб |
| Discrete Math - 1.6.1 Rules of Inference for Propositional Logic.mp4 |
44.55Мб |
| Discrete Math - 1.6.2 Rules of Inference for Quantified Statements.mp4 |
38.79Мб |
| Discrete Math - 1.7.1 Direct Proof.mp4 |
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| Discrete Math - 1.7.2 Proof by Contraposition.mp4 |
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| Discrete Math - 1.7.3 Proof by Contradiction.mp4 |
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| Discrete Math - 1.8.1 Proof by Cases.mp4 |
42.08Мб |
| Discrete Math - 1.8.2 Proofs of Existence And Uniqueness.mp4 |
20.45Мб |
| Discrete Math - 10.1.1 Introduction to Graphs.mp4 |
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| Discrete Math - 10.2.1 Graph Terminology.mp4 |
39.37Мб |
| Discrete Math - 10.2.2 Special Types of Graphs.mp4 |
34.57Мб |
| Discrete Math - 10.2.3 Applications of Graphs.mp4 |
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| Discrete Math - 11.1.1 Introduction to Trees.mp4 |
53.05Мб |
| Discrete Math - 2.1.1 Introduction to Sets.mp4 |
25.05Мб |
| Discrete Math - 2.1.2 Set Relationships.mp4 |
45.08Мб |
| Discrete Math - 2.2.1 Operations on Sets.mp4 |
31.73Мб |
| Discrete Math - 2.2.2 Set Identities.mp4 |
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| Discrete Math - 2.2.3 Proving Set Identities.mp4 |
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| Discrete Math - 2.3.1 Introduction to Functions.mp4 |
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| Discrete Math - 2.3.2 One to One and Onto Functions.mp4 |
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| Discrete Math - 2.3.3 Inverse Functions and Composition of Functions.mp4 |
26.77Мб |
| Discrete Math - 2.3.4 Useful Functions to Know.mp4 |
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| Discrete Math - 2.4.1 Introduction to Sequences.mp4 |
36.33Мб |
| Discrete Math - 2.4.2 Recurrence Relations.mp4 |
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| Discrete Math - 2.4.3 Summations and Sigma Notation.mp4 |
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| Discrete Math - 2.4.4 Summation Properties and Formulas.mp4 |
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| Discrete Math - 2.6.1 Matrices and Matrix Operations.mp4 |
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| Discrete Math - 2.6.2 Matrix Operations on your TI-84.mp4 |
14.73Мб |
| Discrete Math - 2.6.3 Zero-One Matrices.mp4 |
21.86Мб |
| Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code.mp4 |
22.78Мб |
| Discrete Math - 3.1.2 Searching Algorithms.mp4 |
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| Discrete Math - 3.1.3 Sorting Algorithms.mp4 |
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| Discrete Math - 3.1.4 Optimization Algorithms.mp4 |
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| Discrete Math - 4.1.1 Divisibility.mp4 |
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| Discrete Math - 4.1.2 Modular Arithmetic.mp4 |
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| Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal.mp4 |
26.79Мб |
| Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal.mp4 |
14.80Мб |
| Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions.mp4 |
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| Discrete Math - 4.2.4 Algorithms for Integer Operations.mp4 |
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| Discrete Math - 4.3.1 Prime Numbers and Their Properties.mp4 |
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| Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples.mp4 |
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| Discrete Math - 4.3.3 The Euclidean Algorithm.mp4 |
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| Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations.mp4 |
27.64Мб |
| Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse.mp4 |
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| Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae.mp4 |
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| Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities.mp4 |
18.06Мб |
| Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility.mp4 |
17.76Мб |
| Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction.mp4 |
28.60Мб |
| Discrete Math - 5.3.1 Revisiting Recursive Definitions.mp4 |
56.49Мб |
| Discrete Math - 5.3.2 Structural Induction.mp4 |
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| Discrete Math - 5.4.1 Recursive Algorithms.mp4 |
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| Discrete Math - 6.1.1 Counting Rules.mp4 |
34.10Мб |
| Discrete Math - 6.3.1 Permutations and Combinations.mp4 |
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| Discrete Math - 6.3.2 Counting Rules Practice.mp4 |
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| Discrete Math - 6.4.1 The Binomial Theorem.mp4 |
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| Discrete Math - 7.1.1 An Intro to Discrete Probability.mp4 |
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| Discrete Math - 7.1.2 Discrete Probability Practice.mp4 |
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| Discrete Math - 7.2.1 Probability Theory.mp4 |
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| Discrete Math - 7.2.2 Random Variables and the Binomial Distribution.mp4 |
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| Discrete Math - 8.1.1 Modeling with Recurrence Relations.mp4 |
59.62Мб |
| Discrete Math - 8.5.1 The Principle of Inclusion Exclusion.mp4 |
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| Discrete Math - 9.1.1 Introduction to Relations.mp4 |
27.24Мб |
| Discrete Math - 9.1.2 Properties of Relations.mp4 |
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| Discrete Math - 9.1.3 Combining Relations.mp4 |
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| Discrete Math - 9.3.1 Matrix Representations of Relations and Properties.mp4 |
56.12Мб |
| Discrete Math - 9.3.2 Representing Relations Using Digraphs.mp4 |
33.92Мб |
| Discrete Math - 9.5.1 Equivalence Relations.mp4 |
58.36Мб |
| download.py |
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| Drago Anguelov (Waymo) - MIT Self-Driving Cars.mp4 |
149.37Мб |
| Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars.mp4 |
185.44Мб |
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43.41Мб |
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38.77Мб |
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17.31Мб |
| Exactly three heads in five flips _ Probability and Statistics _ Khan Academy.mp4 |
6.50Мб |
| Expected Value - E(X).mp4 |
16.22Мб |
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16.25Мб |
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| Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19.mp4 |
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| Finding probability example 2 _ Probability and Statistics _ Khan Academy.mp4 |
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64.18Мб |
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35.32Мб |
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14.77Мб |
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3.60Мб |
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52.43Мб |
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209.78Мб |
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29.59Мб |
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9.38Мб |
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38.67Мб |
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37.97Мб |
| Hashes 10 Rehashing.mp4 |
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| Hashes 11 the hash class.mp4 |
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| Hashes 12 Review of the hash element inner class.mp4 |
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| Hashes 13 Constructor for a chained hash..mp4 |
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| Hashes 14 Review of constructors.mp4 |
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| Hashes 15 add() and remove() methods.mp4 |
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| Hashes 16 getValue().mp4 |
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| Hashes 17 resize.mp4 |
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| Hashes 18 KeyIterator.mp4 |
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| Hashes 1 Introduction.mp4 |
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| Hashes 2 Hash Functions.mp4 |
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| Hashes 3 Collisions.mp4 |
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| Hashes 4 Hash Functions for Strings.mp4 |
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| Hashes 8 Open Addressing.mp4 |
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| Heaps 2 Add Remove.mp4 |
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| Heaps 3 TrickleUp.mp4 |
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| Heaps 4 TrickleDown.mp4 |
95.34Мб |
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28.75Мб |
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45.91Мб |
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22.24Мб |
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65.93Мб |
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79.28Мб |
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25.39Мб |
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26.87Мб |
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33.07Мб |
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11.09Мб |
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29.94Мб |
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449.19Мб |
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63.31Мб |
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| Java 2 ComparableGenerics.mp4 |
93.51Мб |
| Java 3 Introduction to Generic Programming.mp4 |
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| Java 4 Parameterized Types.mp4 |
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30.16Мб |
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22.32Мб |
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46.11Мб |
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148.66Мб |
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38.63Мб |
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145.73Мб |
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| Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley).mp4 |
145.49Мб |
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| Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 11 - Cache Consistency - Frangipani.mp4 |
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| Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
215.98Мб |
| Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 12 - Distributed Transactions.mp4 |
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| Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
319.85Мб |
| Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
199.69Мб |
| Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
257.92Мб |
| Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 13 - Spanner.mp4 |
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| Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley).mp4 |
152.80Мб |
| Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 14 - Optimistic Concurrency Control.mp4 |
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| Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
272.32Мб |
| Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 15 - Big Data - Spark.mp4 |
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| Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 16 - Cache Consistency - Memcached at Facebook.mp4 |
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| Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
199.32Мб |
| Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley).mp4 |
138.81Мб |
| Lecture 17 - COPS, Causal Consistency.mp4 |
162.97Мб |
| Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley).mp4 |
128.84Мб |
| Lecture 18 - Fork Consistency, Certificate Transparency.mp4 |
123.61Мб |
| Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley).mp4 |
219.70Мб |
| Lecture 19 - Bitcoin.mp4 |
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| Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
376.09Мб |
| Lecture 1 - Introduction.mp4 |
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| Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018).mp4 |
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| Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley).mp4 |
143.62Мб |
| Lecture 20 - Blockstack.mp4 |
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| Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
232.95Мб |
| Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
183.56Мб |
| Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley).mp4 |
131.05Мб |
| Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley).mp4 |
286.70Мб |
| Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley).mp4 |
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| Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 2 - RPC and Threads.mp4 |
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| Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
191.30Мб |
| Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 3 - GFS.mp4 |
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| Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 4 - Primary-Backup Replication.mp4 |
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| Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 5 - Go, Threads, and Raft.mp4 |
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| Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 6 - Fault Tolerance - Raft (1).mp4 |
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| Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
300.44Мб |
| Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
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| Lecture 7 - Fault Tolerance - Raft (2).mp4 |
589.18Мб |
| Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
264.33Мб |
| Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Lecture 8 - Zookeeper.mp4 |
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| Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
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| Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 9 - More Replication, CRAQ.mp4 |
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| Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
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| Linear Algebra 1.1.1 Systems of Linear Equations.mp4 |
37.61Мб |
| Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations.mp4 |
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| Linear Algebra 1.2.1 Row Reduction and Echelon Forms.mp4 |
41.99Мб |
| Linear Algebra 1.2.2 Solution Sets and Free Variables.mp4 |
29.74Мб |
| Linear Algebra 1.3.1 Vector Equations.mp4 |
30.36Мб |
| Linear Algebra 1.3.2 Linear Combinations.mp4 |
106.05Мб |
| Linear Algebra 1.4.1 The Matrix Equation Ax=b.mp4 |
24.49Мб |
| Linear Algebra 1.4.2 Computation of Ax.mp4 |
20.33Мб |
| Linear Algebra 1.5.1 Homogeneous System Solutions.mp4 |
32.97Мб |
| Linear Algebra 1.5.2 Non-Homogeneous System Solutions.mp4 |
21.01Мб |
| Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors.mp4 |
16.25Мб |
| Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow.mp4 |
21.73Мб |
| Linear Algebra 1.7.1 Linear Independence.mp4 |
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| Linear Algebra 1.7.2 Special Ways to Determine Linear Independence.mp4 |
20.25Мб |
| Linear Algebra 1.8.1 Matrix Transformations.mp4 |
34.31Мб |
| Linear Algebra 1.8.2 Introduction to Linear Transformations.mp4 |
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| Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples.mp4 |
27.41Мб |
| Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose.mp4 |
61.24Мб |
| Linear Algebra 2.2.1 The Inverse of a Matrix.mp4 |
30.54Мб |
| Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties.mp4 |
30.49Мб |
| Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse.mp4 |
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| Linear Algebra 2.3.1 Characterizations of Invertible Matrices.mp4 |
14.86Мб |
| Linear Algebra 3.1.1 Introduction to Determinants.mp4 |
30.62Мб |
| Linear Algebra 3.1.2 Co-factor Expansion.mp4 |
32.22Мб |
| Linear Algebra 3.2.1 Properties of Determinants.mp4 |
52.08Мб |
| Linear Algebra 4.1.1 Vector Spaces.mp4 |
41.90Мб |
| Linear Algebra 4.1.2 Subspace of a Vector Space.mp4 |
39.46Мб |
| Linear Algebra 4.2.1 Null Spaces.mp4 |
36.69Мб |
| Linear Algebra 4.2.2 Column Spaces.mp4 |
42.12Мб |
| Linear Algebra 4.3.1 Linearly Independent Sets and Bases.mp4 |
37.67Мб |
| Linear Algebra 4.3.2 The Spanning Set Theorem.mp4 |
42.25Мб |
| Linear Algebra 4.5.1 The Dimension of a Vector Space.mp4 |
23.03Мб |
| Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space.mp4 |
19.95Мб |
| Linear Algebra 4.6.1 The Row Space.mp4 |
30.71Мб |
| Linear Algebra 4.6.2 Rank.mp4 |
10.01Мб |
| Linear Algebra 5.1.1 Eigenvectors and Eigenvalues.mp4 |
38.48Мб |
| Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues.mp4 |
22.04Мб |
| Linear Algebra 5.2.1 Determinants and the IMT.mp4 |
19.46Мб |
| Linear Algebra 5.2.2 The Characteristic Equation.mp4 |
19.66Мб |
| Linear Algebra 6.1.1 Inner Product, Vector Length and Distance.mp4 |
24.53Мб |
| Linear Algebra 6.1.2 Orthogonal Vectors.mp4 |
16.66Мб |
| Linear Algebra 6.2.1 Orthogonal Sets.mp4 |
29.56Мб |
| Linear Algebra 6.2.2 Orthogonal Projections.mp4 |
20.80Мб |
| Linear Algebra 6.3.1 Orthogonal Decomposition Theorem.mp4 |
18.13Мб |
| Linear Algebra 6.3.2 The Best Approximation Theorem.mp4 |
21.43Мб |
| Linear Algebra 6.5.1 Least Squares Problems.mp4 |
40.50Мб |
| LinkedList 10 Testing the list.mp4 |
53.66Мб |
| LinkedList 11 Iterators.mp4 |
179.57Мб |
| LinkedList 12 Double Linked Lists.mp4 |
92.10Мб |
| LinkedList 13 Circular Linked Lists.mp4 |
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| LinkedList 1 Introduction.mp4 |
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| LinkedList 2 Nodes and Size.mp4 |
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| LinkedList 3 Boundary Conditions.mp4 |
26.31Мб |
| LinkedList 4 addFirst().mp4 |
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| LinkedList 6 removeFirst().mp4 |
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| LinkedList 7 removeLast().mp4 |
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| LinkedList 8 remove and find.mp4 |
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| LinkedList 9 peek().mp4 |
45.01Мб |
| Linked List in Java.mp4 |
37.01Мб |
| Linked List in Java 2.mp4 |
54.20Мб |
| Machine Learning for Scent _ MIT 6.S191.mp4 |
89.26Мб |
| Main Memory _ Chapter-8 _ Operating System.mp4 |
10.83Мб |
| Maintenance Activities.mp4 |
51.16Мб |
| Manual Vs Automated Testing.mp4 |
26.44Мб |
| Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42.mp4 |
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| Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41.mp4 |
35.42Мб |
| Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39.mp4 |
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| Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40.mp4 |
185.44Мб |
| Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy.mp4 |
11.81Мб |
| Mega-R1. Rule-Based Systems.mp4 |
447.56Мб |
| Mega-R2. Basic Search, Optimal Search.mp4 |
387.54Мб |
| Mega-R3. Games, Minimax, Alpha-Beta.mp4 |
237.03Мб |
| Mega-R4. Neural Nets.mp4 |
426.63Мб |
| Mega-R5. Support Vector Machines.mp4 |
130.94Мб |
| Mega-R6. Boosting.mp4 |
342.46Мб |
| Mega-R7. Near Misses, Arch Learning.mp4 |
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| Message Passing Systems (Part 1).mp4 |
18.04Мб |
| Message Passing Systems (Part 2).mp4 |
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| Message Passing Systems (Part 3).mp4 |
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| Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| MIT 6.S094 - Computer Vision.mp4 |
135.01Мб |
| MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning.mp4 |
73.41Мб |
| MIT 6.S191 (2018) - Computer Vision Meets Social Networks.mp4 |
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| MIT 6.S191 (2018) - Convolutional Neural Networks.mp4 |
179.02Мб |
| MIT 6.S191 (2018) - Deep Generative Modeling.mp4 |
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| MIT 6.S191 (2018) - Deep Learning - A Personal Perspective.mp4 |
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| MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers.mp4 |
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| MIT 6.S191 (2018) - Deep Reinforcement Learning.mp4 |
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| MIT 6.S191 (2018) - Faster ML Development with TensorFlow.mp4 |
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| MIT 6.S191 (2018) - Introduction to Deep Learning.mp4 |
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| MIT 6.S191 (2018) - Issues in Image Classification.mp4 |
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| MIT 6.S191 (2018) - Sequence Modeling with Neural Networks.mp4 |
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| MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM).mp4 |
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| MIT 6.S191 (2019) - Convolutional Neural Networks.mp4 |
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| MIT 6.S191 (2019) - Deep Generative Modeling.mp4 |
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| MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers.mp4 |
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| MIT 6.S191 (2019) - Deep Reinforcement Learning.mp4 |
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| MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA).mp4 |
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| MIT 6.S191 (2019) - Introduction to Deep Learning.mp4 |
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| MIT 6.S191 (2019) - Recurrent Neural Networks.mp4 |
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| MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain).mp4 |
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| MIT Introduction to Deep Learning _ 6.S191.mp4 |
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| MIT Self-Driving Cars (2018).mp4 |
240.69Мб |
| Modularization.mp4 |
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| MongoDB In 30 Minutes.mp4 |
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| Multilevel Feedback-Queue Scheduling Algorithm.mp4 |
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| Multilevel Queue Scheduling Algorithm.mp4 |
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| Multithreading Models & Hyperthreading.mp4 |
30.46Мб |
| Need of Software Engineering.mp4 |
27.91Мб |
| Need of Software Project Management.mp4 |
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| Neural Network Model - Deep Learning with Neural Networks and TensorFlow.mp4 |
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| Neural Rendering _ MIT 6.S191.mp4 |
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| Neurosymbolic AI _ MIT 6.S191.mp4 |
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| Object Oriented Design.mp4 |
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| Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars.mp4 |
168.03Мб |
| OpenCV Course - Full Tutorial with Python.mp4 |
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| Operating System Design & Implementation.mp4 |
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| Operating System Generation and System Boot.mp4 |
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| Operating System Services.mp4 |
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| Operating System Structure.mp4 |
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| Operation on Processes – Process Creation.mp4 |
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| Operation on Processes – Process Termination.mp4 |
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| Overview of Software Engineering.mp4 |
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| Permutations.mp4 |
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| Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6.mp4 |
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| Poisson process 1 _ Probability and Statistics _ Khan Academy.mp4 |
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| Poisson process 2 _ Probability and Statistics _ Khan Academy.mp4 |
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| Practical Machine Learning Tutorial with Python Intro p.1.mp4 |
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| Preemptive and Non-Preemptive Scheduling.mp4 |
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| Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6.mp4 |
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| Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5.mp4 |
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| Priority Scheduling (Solved Problem 1).mp4 |
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| Priority Scheduling (Solved Problem 2).mp4 |
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| Probability (part 2).mp4 |
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| Probability (part 8).mp4 |
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| Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy.mp4 |
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| Probability density functions _ Probability and Statistics _ Khan Academy.mp4 |
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| Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy.mp4 |
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| Probability using combinations _ Probability and Statistics _ Khan Academy.mp4 |
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| Probability without equally likely events _ Probability and Statistics _ Khan Academy.mp4 |
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| Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy.mp4 |
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| Process Control Block.mp4 |
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| Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5.mp4 |
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| Process Management (Processes and Threads).mp4 |
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| Process Scheduling.mp4 |
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| Process State.mp4 |
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| Process Synchronization _ Chapter-6 _ Operating System.mp4 |
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| Programming R Squared - Practical Machine Learning Tutorial with Python p.11.mp4 |
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| Programming Style.mp4 |
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| Project Communication Management.mp4 |
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| Project Estimation.mp4 |
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| Project Estimation Techniques.mp4 |
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| Project Execution and Monitoring.mp4 |
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| Project Management Tools.mp4 |
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| Project Risk Management.mp4 |
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| Project Scheduling.mp4 |
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| Pseudo Code.mp4 |
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| Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server.mp4 |
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| Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 11 - Pagination.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 3 - Templates.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 6 - User Registration.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture.mp4 |
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| Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile.mp4 |
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| Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt.mp4 |
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| Python Django Tutorial - How to Use a Custom Domain Name for Our Application.mp4 |
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| Python Django Web Framework - Full Course for Beginners.mp4 |
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| Q-Learning Agent Analysis - Reinforcement Learning p.3.mp4 |
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| Q Learning Algorithm and Agent - Reinforcement Learning p.2.mp4 |
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| Q Learning Intro_Table - Reinforcement Learning p.1.mp4 |
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| Qt Tutorial 2 - C++ Calculator.mp4 |
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| Qt Tutorial 3 - Qt Charts.mp4 |
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| Qt Tutorial 4 - C++ Paint App.mp4 |
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| Qt Tutorial 5 - Finish Paint App.mp4 |
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| Qt Tutorial - C++ Notepad App.mp4 |
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| Rapid Application Development (RAD).mp4 |
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| Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2.mp4 |
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| Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Recurrent Neural Networks _ MIT 6.S191.mp4 |
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| Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10.mp4 |
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| Red Black Tree 10 number of black nodes.mp4 |
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| Red Black Tree 1 The Rules.mp4 |
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| Red Black Tree 3 - Classes.mp4 |
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| Red Black Tree 4 - Add methods.mp4 |
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| Red Black Tree 5 checking violations in the tree.mp4 |
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| Red Black Tree 6 The Rotate method.mp4 |
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| Red Black Tree 9 height.mp4 |
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| Red Black Trees 2 Example of building a tree.mp4 |
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| Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3.mp4 |
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| Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5.mp4 |
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| Regression How it Works - Practical Machine Learning Tutorial with Python p.7.mp4 |
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| Regression Intro - Practical Machine Learning Tutorial with Python p.2.mp4 |
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| Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4.mp4 |
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| Reinforcement Learning _ MIT 6.S191.mp4 |
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| Remote Procedure Calls (RPC).mp4 |
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| Requirement Elicitation Techniques.mp4 |
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| Requirement Engineering Process.mp4 |
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| Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4.mp4 |
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| Resource Management.mp4 |
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| Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 |
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| Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 |
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| RNN Example in Tensorflow - Deep Learning with Neural Networks 11.mp4 |
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| Rosalind Problems - Counting DNA Nucleotides.mp4 |
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| Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations..mp4 |
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| Rosalind Problems - GC Content, FASTA File Format, Data Processing..mp4 |
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| Rosalind Problems - Python Village.mp4 |
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| Rosalind Problems - Transcription and Reverse Complement.mp4 |
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| Round Robin Scheduling (Turnaround Time & Waiting Time).mp4 |
46.46Мб |
| Round Robin Scheduling - Solved Problem (Part 1).mp4 |
30.19Мб |
| Round Robin Scheduling - Solved Problem (Part 2).mp4 |
24.89Мб |
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9.60Мб |
| Running our Network - Deep Learning with Neural Networks and TensorFlow.mp4 |
65.51Мб |
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133.18Мб |
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221.32Мб |
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30.47Мб |
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45.45Мб |
| Scheduling Algorithms - Round Robin Scheduling.mp4 |
75.64Мб |
| Scheduling Algorithms - Shortest Job First (SJF).mp4 |
53.46Мб |
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88.90Мб |
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75.20Мб |
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80.31Мб |
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36.14Мб |
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148.44Мб |
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476.51Мб |
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14.09Мб |
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23.27Мб |
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28.05Мб |
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35.90Мб |
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22.51Мб |
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21.53Мб |
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52.25Мб |
| Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31.mp4 |
44.91Мб |
| Software Design Approaches.mp4 |
35.46Мб |
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28.49Мб |
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83.97Мб |
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17.53Мб |
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70.70Мб |
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11.74Мб |
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27.36Мб |
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25.87Мб |
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24.34Мб |
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42.39Мб |
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28.98Мб |
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35.45Мб |
| Software Project Management Activities.mp4 |
61.84Мб |
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30.19Мб |
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40.68Мб |
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52.78Мб |
| Software Requirements.mp4 |
36.12Мб |
| Software User Interface Design.mp4 |
35.45Мб |
| Software Validation and Verification.mp4 |
46.51Мб |
| Solving Programming Problems.mp4 |
45.51Мб |
| Solving Programming Problems 2.mp4 |
124.99Мб |
| Sorts 10 Quick Sort Code.mp4 |
61.07Мб |
| Sorts 11 Radix Sort.mp4 |
43.51Мб |
| Sorts 12 Sort Summary.mp4 |
63.96Мб |
| Sorts 1 Introduction to sorts.mp4 |
68.83Мб |
| Sorts 2 Selection Sort.mp4 |
38.58Мб |
| Sorts 3 Insertion Sort.mp4 |
51.69Мб |
| Sorts 4 Insertion Sort Code.mp4 |
28.85Мб |
| Sorts 5 Shell Sort.mp4 |
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| Sorts 6 Merge Sort.mp4 |
64.88Мб |
| Sorts 7 Merge Sort Code.mp4 |
68.29Мб |
| Sorts 8 Quick Sort.mp4 |
33.83Мб |
| Sorts 9 Quick Sort Worst Case.mp4 |
8.95Мб |
| Spiral Model.mp4 |
44.75Мб |
| SQL Tutorial - Full Database Course for Beginners.mp4 |
1.22Гб |
| Stacks and Queues.mp4 |
35.52Мб |
| Stacks and Queues 3 Using arrays to write stacks and queues.mp4 |
110.95Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering.mp4 |
196.92Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP.mkv |
614.34Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors.mp4 |
173.01Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses.mp4 |
195.36Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks.mp4 |
190.88Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation.mp4 |
205.80Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing.mp4 |
139.41Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs.mp4 |
143.66Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs.mp4 |
130.52Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention.mp4 |
127.81Мб |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects.mp4 |
154.29Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review.mp4 |
239.54Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning.mp4 |
369.90Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II.mp4 |
222.72Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III.mp4 |
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| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning.mp4 |
131.90Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search.mp4 |
135.22Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction.mp4 |
127.71Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World.mp4 |
134.73Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation.mp4 |
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| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control.mp4 |
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| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation.mp4 |
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| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning.mp4 |
163.27Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning.mp4 |
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| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I.mp4 |
270.00Мб |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II.mp4 |
217.37Мб |
| Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics.mp4 |
43.02Мб |
| Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement.mp4 |
118.44Мб |
| Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample.mp4 |
273.84Мб |
| Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms.mp4 |
579.87Мб |
| Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode.mp4 |
248.59Мб |
| Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set.mp4 |
1003.05Мб |
| Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation.mp4 |
332.88Мб |
| Statistics Lecture 4.2 - Introduction to Probability.mp4 |
323.26Мб |
| Statistics Lecture 4.3 - The Addition Rule for Probability.mp4 |
263.17Мб |
| Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities..mp4 |
573.42Мб |
| Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'.mp4 |
121.22Мб |
| Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations.mp4 |
358.00Мб |
| Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation.mp4 |
294.20Мб |
| Statistics Lecture 5.3 - A Study of Binomial Probability Distributions.mp4 |
798.71Мб |
| Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution.mp4 |
109.82Мб |
| Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables.mp4 |
671.07Мб |
| Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score.mp4 |
496.73Мб |
| Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations.mp4 |
161.98Мб |
| Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score.mp4 |
803.27Мб |
| Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion.mp4 |
1.23Гб |
| Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known.mp4 |
162.88Мб |
| Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown.mp4 |
203.15Мб |
| Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution..mp4 |
84.06Мб |
| Statistics Lecture 8.2 - An Introduction to Hypothesis Testing.mp4 |
423.96Мб |
| Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion.mp4 |
334.88Мб |
| Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known..mp4 |
123.22Мб |
| Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown..mp4 |
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| Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation..mp4 |
37.70Мб |
| Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars.mp4 |
319.31Мб |
| Structured Charts.mp4 |
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| Structured Design.mp4 |
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| Structured English.mp4 |
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| Structured Evolutionary Prototyping Model.mp4 |
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| Structured Programming.mp4 |
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| Structures of Operating System.mp4 |
28.69Мб |
| Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22.mp4 |
13.86Мб |
| Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23.mp4 |
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| Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20.mp4 |
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| Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24.mp4 |
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| SVM Optimization - Practical Machine Learning Tutorial with Python p.27.mp4 |
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| SVM Parameters - Practical Machine Learning Tutorial with Python p.33.mp4 |
40.03Мб |
| SVM Training - Practical Machine Learning Tutorial with Python p.26.mp4 |
49.70Мб |
| Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19).mp4 |
97.17Мб |
| Swift Programming Tutorial for Beginners (Full Tutorial).mp4 |
689.67Мб |
| System Calls.mp4 |
20.73Мб |
| System Programs.mp4 |
20.08Мб |
| TensorFlow Basics - Deep Learning with Neural Networks p. 2.mp4 |
37.81Мб |
| TensorFlow Lite for Android (Coding TensorFlow).mp4 |
34.14Мб |
| TensorFlow Lite for iOS (Coding TensorFlow).mp4 |
38.19Мб |
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| Testing Approaches.mp4 |
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| Testing Assumptions - Practical Machine Learning Tutorial with Python p.12.mp4 |
154.03Мб |
| Testing Documentation.mp4 |
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| Testing Levels.mp4 |
71.50Мб |
| Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4.mp4 |
68.83Мб |
| TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14.mp4 |
134.40Мб |
| Threading Issues (Thread Cancellation).mp4 |
39.79Мб |
| Threading Issues [fork() & exec() System Calls].mp4 |
47.05Мб |
| Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy.mp4 |
11.36Мб |
| Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7.mp4 |
98.48Мб |
| Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6.mp4 |
119.65Мб |
| Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2.mp4 |
44.83Мб |
| Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3.mp4 |
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| Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3.mp4 |
77.74Мб |
| Trees 10 Rotations.mp4 |
70.96Мб |
| Trees 11 Coding Rotations.mp4 |
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| Trees 2 Complete and Full.mp4 |
15.42Мб |
| Trees 3 Traversal.mp4 |
69.42Мб |
| Trees 4 Expression Trees.mp4 |
31.83Мб |
| Trees 5 Node Class.mp4 |
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| Trees 6 recursive add.mp4 |
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| Trees 7 Contains.mp4 |
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| Trees 8 Remove.mp4 |
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| Trees 9 Introduction to rotations.mp4 |
75.31Мб |
| Trees and heaps 1 Introduction.mp4 |
37.04Мб |
| Tutorix Brings Simply Easy Learning.mp4 |
1.72Мб |
| Tutorix Simply Easy Learning Steps.mp4 |
2.29Мб |
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28.98Мб |
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16.28Мб |
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27.50Мб |
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35.58Мб |
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24.98Мб |
| UML 2 Communication Diagrams.mp4 |
18.13Мб |
| UML 2 Component Diagrams.mp4 |
50.40Мб |
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28.66Мб |
| UML 2 Sequence Diagrams.mp4 |
89.93Мб |
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70.14Мб |
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22.18Мб |
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6.77Мб |
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56.93Мб |
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30.03Мб |
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23.59Мб |
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112.79Мб |
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38.99Мб |
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43.71Мб |
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9.70Мб |
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22.41Мб |
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37.46Мб |
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68.92Мб |
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4.44Мб |
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22.07Мб |
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30.95Мб |
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44.91Мб |