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001 Bubble sort.mp4 |
19.28MB |
001 Decision trees introduction.mp4 |
31.76MB |
001 Final words.mp4 |
6.21MB |
001 Graph theory.mp4 |
29.01MB |
001 Installing LiClipse.mp4 |
11.77MB |
001 Introduction.mp4 |
4.07MB |
001 Introduction.mp4 |
22.06MB |
001 Introduction.mp4 |
16.57MB |
001 K-means clustering introduction.mp4 |
34.02MB |
001 K-nearest neighbour introduction.mp4 |
37.32MB |
001 Linear regression introduction.mp4 |
23.26MB |
001 Linked List introduction.mp4 |
35.21MB |
001 Red-black trees.mp4 |
60.22MB |
002 Breadth-first search introduction.mp4 |
11.34MB |
002 Complexity theory.mp4 |
56.85MB |
002 Decision tree example I.mp4 |
5.82MB |
002 Insertion sort.mp4 |
18.81MB |
002 K-means clustering example.mp4 |
17.11MB |
002 K-nearest neighbour introduction - normalize data.mp4 |
10.27MB |
002 Linear regression example.mp4 |
21.57MB |
002 Linked list implementation.mp4 |
60.70MB |
002 Simple example - logical AND table.mp4 |
30.06MB |
002 Splay trees.mp4 |
64.68MB |
003 Binary search tree introduction.mp4 |
31.76MB |
003 Breadth-first search implementation.mp4 |
23.30MB |
003 Coloring problem.mp4 |
58.73MB |
003 DBSCAN clustering introduction.mp4 |
25.57MB |
003 Decision tree example II - iris data.mp4 |
49.55MB |
003 K-nearest neighbour example I.mp4 |
8.62MB |
003 Logistic regression introduction.mp4 |
43.02MB |
003 Merge sort.mp4 |
17.86MB |
003 Training a neural network.mp4 |
36.10MB |
004 Backtracking - N queens problem.mp4 |
29.48MB |
004 Binary search tree implementation - Node.mp4 |
50.26MB |
004 Complex neural networks.mp4 |
34.83MB |
004 Cross validation.mp4 |
19.95MB |
004 Depth-first search introduction.mp4 |
9.02MB |
004 Hierarchical clustering introduction.mp4 |
22.85MB |
004 K-nearest neighbour example II.mp4 |
7.56MB |
004 Pruning and bagging.mp4 |
14.46MB |
004 Quicksort.mp4 |
18.96MB |
005 Applications of neural networks.mp4 |
24.97MB |
005 Binary Search Tree implementation final.mp4 |
31.74MB |
005 Counting sort.mp4 |
18.74MB |
005 Depth-first search implementation.mp4 |
17.94MB |
005 Euler cycles - chinese postman problem.mp4 |
41.65MB |
005 Hierarchical clustering example.mp4 |
13.58MB |
005 Logistic regression example - sigmoid function.mp4 |
46.61MB |
005 Naive bayesian classifier introduction.mp4 |
45.74MB |
005 Random forest introduction.mp4 |
10.28MB |
006 AVL trees introduction.mp4 |
61.02MB |
006 Boosting.mp4 |
12.18MB |
006 Deep learning.mp4 |
11.23MB |
006 Logistic regression example II.mp4 |
16.21MB |
006 Naive bayesian example.mp4 |
20.78MB |
006 Radix sort.mp4 |
26.66MB |
006 Shortest path introduction.mp4 |
37.99MB |
007 AVL tree implementation I.mp4 |
40.81MB |
007 Dijkstra algorithm.mp4 |
64.97MB |
007 Logistic regression example III - credit scoring.mp4 |
51.42MB |
007 Neural network example - XOR problem.mp4 |
25.12MB |
007 Random forest example I.mp4 |
8.92MB |
007 Support vector machine SVM introduction.mp4 |
19.53MB |
008 AVL tree implementation II.mp4 |
76.34MB |
008 Bellman-Ford algorithm introduction.mp4 |
13.05MB |
008 Random forest example II - enhance credit scoring.mp4 |
8.89MB |
008 Support vector machine example I.mp4 |
10.85MB |
009 Bellman-Ford implementation.mp4 |
74.66MB |
009 Heaps introduction.mp4 |
45.62MB |
009 Support vector machine example II - image recognition.mp4 |
22.78MB |
010 Heap implementation I.mp4 |
31.97MB |
010 Spanning trees introduction.mp4 |
36.42MB |
011 Heap implementation II - heapsort.mp4 |
37.81MB |
011 Kruskal algorithm I - The union find data structure.mp4 |
67.70MB |
012 Hashtable introduction.mp4 |
69.79MB |
012 Kruskal algorithm II.mp4 |
27.90MB |
013 Prims-Jarnik algorithm.mp4 |
45.20MB |
013 Ternary search trees introduction.mp4 |
44.46MB |
014 Ternary search trees implementation I.mp4 |
33.25MB |
015 Ternary search trees implementation II.mp4 |
21.22MB |