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Название [FreeCourseSite.com] Udemy - Complete Math, Statistics & Probability for Machine Learning
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1. Addition Rule - Mutually Exclusive Events.mp4 89.35Мб
1. Addition Rule - Mutually Exclusive Events.srt 4.77Кб
1. Basic Properties of Mean.mp4 23.65Мб
1. Basic Properties of Mean.srt 8.76Кб
1. Bayes' Theorem.mp4 182.95Мб
1. Bayes' Theorem.mp4 25.84Мб
1. Bayes' Theorem.srt 9.30Кб
1. Bayes' Theorem.srt 7.25Кб
1. Check out my other courses.html 1.78Кб
1. Conditional Probability.mp4 5.22Мб
1. Conditional Probability.srt 1.43Кб
1. Correlation.mp4 17.52Мб
1. Correlation.srt 6.54Кб
1. Decision Tree - Introduction.mp4 302.78Мб
1. Decision Tree - Introduction.srt 17.78Кб
1. Decision Tree of Probability.mp4 34.70Мб
1. Decision Tree of Probability.srt 10.24Кб
1. Dependent and Independent Events.mp4 7.64Мб
1. Dependent and Independent Events.srt 2.98Кб
1. Derived Definition Form of First Principle.mp4 7.03Мб
1. Derived Definition Form of First Principle.srt 3.21Кб
1. Empirical Probability.mp4 41.25Мб
1. Empirical Probability.srt 1.95Кб
1. Example.mp4 15.23Мб
1. Example.mp4 3.39Мб
1. Example.srt 6.32Кб
1. Example.srt 2.00Кб
1. Exercise & Solution 1.mp4 6.80Мб
1. Exercise & Solution 1.srt 1.53Кб
1. Hypergeometric Distribution.mp4 93.99Мб
1. Hypergeometric Distribution.srt 5.05Кб
1. Importance of Area Under Curve.mp4 2.98Мб
1. Importance of Area Under Curve.srt 1.04Кб
1. Importance of Calculus for Machine Learning.mp4 5.05Мб
1. Importance of Calculus for Machine Learning.srt 1.41Кб
1. Importance of Combinatorics for Machine Learning.mp4 5.58Мб
1. Importance of Combinatorics for Machine Learning.srt 1.47Кб
1. Importance of Combinatorics to Machine Learning.mp4 137.85Мб
1. Importance of Combinatorics to Machine Learning.srt 7.76Кб
1. Importance of Linear Algebra to Machine Learning.html 1.25Кб
1. Importance of Logarithms for Machine Learning.mp4 18.86Мб
1. Importance of Logarithms for Machine Learning.srt 5.04Кб
1. Importance of Matrix for Machine Learning.mp4 3.18Мб
1. Importance of Matrix for Machine Learning.srt 994б
1. Importance of Probability for Machine Learning.mp4 4.31Мб
1. Importance of Probability for Machine Learning.srt 1.18Кб
1. Importance of Set Theory for Machine Learning.mp4 2.96Мб
1. Importance of Set Theory for Machine Learning.srt 946б
1. Importance of Statistics for Machine Learning.mp4 2.81Мб
1. Importance of Statistics for Machine Learning.srt 863б
1. Introduction.mp4 5.50Мб
1. Introduction.mp4 4.04Мб
1. Introduction.mp4 1.67Мб
1. Introduction.srt 488б
1. Introduction.srt 1.66Кб
1. Introduction.srt 1.13Кб
1. Mean Frequency Distribution.mp4 3.11Мб
1. Mean Frequency Distribution.srt 864б
1. Measures of Spread (Variation Dispersion).mp4 2.45Мб
1. Measures of Spread (Variation Dispersion).srt 913б
1. Median.mp4 8.53Мб
1. Median.srt 2.93Кб
1. Median Frequency Distribution.mp4 11.04Мб
1. Median Frequency Distribution.srt 2.89Кб
1. ML Success Starts Here Master Math, Probability & Statistics for ML!.html 1.70Кб
1. Mode.mp4 3.71Мб
1. Mode.srt 1.23Кб
1. Multiplication Rule - Dependent and Independent Event.mp4 107.81Мб
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1. Mutually Exclusive and Non-Mutually Exclusive Events.mp4 11.99Мб
1. Mutually Exclusive and Non-Mutually Exclusive Events.srt 3.19Кб
1. NumPy, After Linear Algebra.mp4 35.97Мб
1. NumPy, After Linear Algebra.srt 5.31Кб
1. Question and Answer 1.mp4 1.73Мб
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1. Question and Solution 1.mp4 12.79Мб
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1. Question and Solution 1.srt 2.44Кб
1. Question and Solution 1.srt 3.55Кб
1. Random Variable.mp4 131.00Мб
1. Random Variable.srt 7.22Кб
1. Regression - Linear, Multiple Regression....mp4 28.43Мб
1. Regression - Linear, Multiple Regression....srt 7.43Кб
1. Theorem of Total Probability.mp4 33.28Мб
1. Theorem of Total Probability.srt 8.65Кб
1. Theoretical Probability.mp4 20.00Мб
1. Theoretical Probability.srt 869б
1. Understanding Chain Rule.mp4 16.40Мб
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1. Understanding Conditional Probability.mp4 124.24Мб
1. Understanding Conditional Probability.srt 6.14Кб
1. Understanding Determinant and Minor.mp4 227.76Мб
1. Understanding Determinant and Minor.srt 10.59Кб
1. Understanding EigenValue and EigenVector.mp4 15.06Мб
1. Understanding EigenValue and EigenVector.srt 8.25Кб
1. Understanding Euclidean Distance and Manhattan Distance.mp4 23.52Мб
1. Understanding Euclidean Distance and Manhattan Distance.srt 10.59Кб
1. Understanding Geometric Distribution and its formula.mp4 120.61Мб
1. Understanding Geometric Distribution and its formula.srt 7.21Кб
1. Understanding Mean Deviation.mp4 8.91Мб
1. Understanding Mean Deviation.srt 4.10Кб
1. Understanding Pearson and Spearman correlation.mp4 9.08Мб
1. Understanding Pearson and Spearman correlation.srt 2.11Кб
1. Understanding Product Rule.mp4 2.18Мб
1. Understanding Product Rule.srt 857б
1. Understanding Quotient.mp4 6.28Мб
1. Understanding Quotient.srt 3.01Кб
1. Understanding Regression Error Metrics.mp4 26.88Мб
1. Understanding Regression Error Metrics.srt 6.87Кб
1. Understanding Second Derivatives.mp4 3.53Мб
1. Understanding Second Derivatives.srt 1.80Кб
1. Understanding Sensitivity and Specificity.mp4 125.10Мб
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1. Understanding Special Derivatives.srt 1.28Кб
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1. Understanding Variance and Standard Deviation.srt 3.21Кб
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1. Understand the Theorem of Total Probability.srt 12.75Кб
1. Variable.mp4 13.71Мб
1. Variable.srt 2.95Кб
1. Weighted Mean.mp4 7.32Мб
1. Weighted Mean.srt 1.47Кб
1. What is experimental Probability.mp4 3.73Мб
1. What is experimental Probability.srt 1.03Кб
1. What is Range.mp4 1.18Мб
1. What is Range.srt 419б
1. What is theoretical probability.mp4 2.85Мб
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10. Addition Rule - Non-Mutually Exclusive Events - Exercise and Solution 1.mp4 38.91Мб
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10. Cardinality of Set.mp4 3.64Мб
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10. Cofactor Minor Place Sign.mp4 14.13Мб
10. Cofactor Minor Place Sign.srt 5.04Кб
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10. Geometric Distribution - Exercise 5.mp4 24.67Мб
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10. Multiplication of Matrices - Two Matrices.mp4 244.83Мб
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10. Multiplication Rule - Dependent Events - Exercise and Solution 2.mp4 78.58Мб
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10. Universal Quantifier - Example 1.mp4 30.33Мб
10. Universal Quantifier - Example 1.srt 1.01Кб
11. Addition Rule - Non-Mutually Exclusive Events - Exercise and Solution 2.mp4 25.25Мб
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11. Bayes' Theorem - Exercise and Solution 4.mp4 71.97Мб
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11. Binomial Probability Distribution - Exercise and Solution 7.mp4 12.67Мб
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11. Cofactor - Example.mp4 18.83Мб
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11. Decision Tree - Exercise 2.mp4 7.46Мб
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11. Universal Quantifier - Example 2.srt 1.27Кб
12. 7 Laws of Set Idempotent, Associate, Communicative, Distributive, De-Morgan....mp4 39.91Мб
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12. Addition Rule - Non-Mutually Exclusive Events - Exercise and Solution 3.mp4 30.94Мб
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12. Adjoint of a Square Matrix.mp4 13.44Мб
12. Adjoint of a Square Matrix.srt 3.99Кб
12. Bayes' Theorem - Exercise and Solution 5.mp4 67.29Мб
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12. Binomial Probability Distribution - Exercise and Solution 8.mp4 84.64Мб
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12. Decision Tree - Exercise and Solution 9.mp4 74.11Мб
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12. Exercise & Solution 12.mp4 8.44Мб
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12. Universal Quantifier - Example 3.srt 1.21Кб
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13. More Factorial vs Permutation.mp4 15.73Мб
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8. Total Probability - Exercise and Solution.mp4 17.02Мб
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80. Domination Laws.mp4 61.79Мб
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81. Complementation Laws.mp4 41.22Мб
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83. Distributive Laws.mp4 49.60Мб
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84. Absorption Laws.mp4 76.52Мб
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85. Associative Laws.mp4 46.16Мб
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86. De Morgan's Laws.mp4 129.25Мб
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87. Double Negation Law.mp4 33.52Мб
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88. Understanding Jaccard Similarity.mp4 99.09Мб
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89. Jaccard Similarity - Example 1.mp4 43.24Мб
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9. Addition Rule - Non-Mutually Exclusive Events.mp4 80.54Мб
9. Addition Rule - Non-Mutually Exclusive Events.srt 5.21Кб
9. Bayes' Theorem - Exercise and Solution 2.mp4 126.44Мб
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9. Binomial Probability Distribution - Exercise and Solution 5.mp4 14.22Мб
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9. Cyclic Permutation - Exercise & Solution 4.mp4 58.11Мб
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9. Decision Tree - Exercise 1.mp4 7.98Мб
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9. Determinant of Singular Matrix - Example.mp4 4.83Мб
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9. Empirical Probability - Exercise and Solution 8.mp4 6.93Мб
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9. Exercise & Solution.mp4 6.42Мб
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9. Exercise and Solution 7.mp4 6.63Мб
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9. Multiplication of Matrices - Scalar.mp4 92.73Мб
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9. Question and Answer 7.mp4 11.14Мб
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9. Sensitivity and Specificity - Exercise 3.mp4 4.74Мб
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9. Set Builder Notation.mp4 10.36Мб
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9. Theorem of Total Probability - Exercise 5.mp4 6.03Мб
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9. Theoretical Probability - Exercise and Solution 8.mp4 83.73Мб
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9. Universal Quantifier - (For Every Symbol).mp4 111.16Мб
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90. Jaccard Similarity - Example 2.mp4 46.88Мб
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91. Jaccard Similarity - Example 3.mp4 35.00Мб
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92. Application of Set Theory in Machine Learning.mp4 133.15Мб
92. Application of Set Theory in Machine Learning.srt 7.15Кб
93. Text Classification and Sentient Analysis - Using Set Theory.mp4 165.40Мб
93. Text Classification and Sentient Analysis - Using Set Theory.srt 9.99Кб
94. Dice Coefficient.mp4 97.07Мб
94. Dice Coefficient.srt 5.84Кб
95. Tversky Index in Recommender System.mp4 140.83Мб
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96. Python for Set Theory.mp4 61.72Мб
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97. Python for Set Theory II - Multiple Sets.mp4 21.30Мб
97. Python for Set Theory II - Multiple Sets.srt 5.16Кб
98.1 Python for Set Theory.ipynb 11.62Кб
98. CODE Python for Set Theory.html 1.06Кб