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种子名称： Udemy - Algorithms and Data Structures in Python
文件类型： 视频
文件数目： 80个文件
文件大小： 2.39 GB
收录时间： 2017-2-16 16:25
已经下载： 3次
资源热度： 133
最近下载： 2024-12-26 23:01

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Udemy - Algorithms and Data Structures in Python.torrent

01 Introduction/001 Introduction.mp44.07MB

01 Introduction/002 Complexity theory.mp456.85MB

02 Setup/001 Installing LiClipse.mp411.77MB

03 Data Structures/001 Linked List introduction.mp435.21MB

03 Data Structures/002 Linked list implementation.mp460.7MB

03 Data Structures/003 Binary search tree introduction.mp431.76MB

03 Data Structures/004 Binary search tree implementation - Node.mp450.26MB

03 Data Structures/005 Binary Search Tree implementation final.mp431.74MB

03 Data Structures/006 AVL trees introduction.mp461.02MB

03 Data Structures/007 AVL tree implementation I.mp440.81MB

03 Data Structures/008 AVL tree implementation II.mp476.34MB

03 Data Structures/009 Heaps introduction.mp445.62MB

03 Data Structures/010 Heap implementation I.mp431.97MB

03 Data Structures/011 Heap implementation II - heapsort.mp437.81MB

03 Data Structures/012 Hashtable introduction.mp469.79MB

03 Data Structures/013 Ternary search trees introduction.mp444.46MB

03 Data Structures/014 Ternary search trees implementation I.mp433.25MB

03 Data Structures/015 Ternary search trees implementation II.mp421.22MB

04 Graph Algorithms/001 Graph theory.mp429.01MB

04 Graph Algorithms/002 Breadth-first search introduction.mp411.34MB

04 Graph Algorithms/003 Breadth-first search implementation.mp423.3MB

04 Graph Algorithms/004 Depth-first search introduction.mp49.02MB

04 Graph Algorithms/005 Depth-first search implementation.mp417.94MB

04 Graph Algorithms/006 Shortest path introduction.mp437.99MB

04 Graph Algorithms/007 Dijkstra algorithm.mp464.97MB

04 Graph Algorithms/008 Bellman-Ford algorithm introduction.mp413.05MB

04 Graph Algorithms/009 Bellman-Ford implementation.mp474.66MB

04 Graph Algorithms/010 Spanning trees introduction.mp436.42MB

04 Graph Algorithms/011 Kruskal algorithm I - The union find data structure.mp467.7MB

04 Graph Algorithms/012 Kruskal algorithm II.mp427.9MB

04 Graph Algorithms/013 Prims-Jarnik algorithm.mp445.2MB

05 Other Problems/001 Red-black trees.mp460.22MB

05 Other Problems/002 Splay trees.mp464.68MB

05 Other Problems/003 Coloring problem.mp458.73MB

05 Other Problems/004 Backtracking - N queens problem.mp429.48MB

05 Other Problems/005 Euler cycles - chinese postman problem.mp441.65MB

06 Basic Sorting Algorithms/001 Bubble sort.mp419.28MB

06 Basic Sorting Algorithms/002 Insertion sort.mp418.81MB

06 Basic Sorting Algorithms/003 Merge sort.mp417.86MB

06 Basic Sorting Algorithms/004 Quicksort.mp418.96MB

06 Basic Sorting Algorithms/005 Counting sort.mp418.74MB

06 Basic Sorting Algorithms/006 Radix sort.mp426.66MB

07 Machine Learning - Introduction/001 Introduction.mp422.06MB

08 Machine Learning - Regression/001 Linear regression introduction.mp423.26MB

08 Machine Learning - Regression/002 Linear regression example.mp421.57MB

08 Machine Learning - Regression/003 Logistic regression introduction.mp443.02MB

08 Machine Learning - Regression/004 Cross validation.mp419.95MB

08 Machine Learning - Regression/005 Logistic regression example - sigmoid function.mp446.61MB

08 Machine Learning - Regression/006 Logistic regression example II.mp416.21MB

08 Machine Learning - Regression/007 Logistic regression example III - credit scoring.mp451.42MB

09 Machine Learning - Classification/001 K-nearest neighbour introduction.mp437.32MB

09 Machine Learning - Classification/002 K-nearest neighbour introduction - normalize data.mp410.27MB

09 Machine Learning - Classification/003 K-nearest neighbour example I.mp48.62MB

09 Machine Learning - Classification/004 K-nearest neighbour example II.mp47.56MB

09 Machine Learning - Classification/005 Naive bayesian classifier introduction.mp445.74MB

09 Machine Learning - Classification/006 Naive bayesian example.mp420.78MB

09 Machine Learning - Classification/007 Support vector machine SVM introduction.mp419.53MB

09 Machine Learning - Classification/008 Support vector machine example I.mp410.85MB

09 Machine Learning - Classification/009 Support vector machine example II - image recognition.mp422.78MB

10 Machine Learning - Tree Based Algorithms/001 Decision trees introduction.mp431.76MB

10 Machine Learning - Tree Based Algorithms/002 Decision tree example I.mp45.82MB

10 Machine Learning - Tree Based Algorithms/003 Decision tree example II - iris data.mp449.55MB

10 Machine Learning - Tree Based Algorithms/004 Pruning and bagging.mp414.46MB

10 Machine Learning - Tree Based Algorithms/005 Random forest introduction.mp410.28MB

10 Machine Learning - Tree Based Algorithms/006 Boosting.mp412.18MB

10 Machine Learning - Tree Based Algorithms/007 Random forest example I.mp48.92MB

10 Machine Learning - Tree Based Algorithms/008 Random forest example II - enhance credit scoring.mp48.89MB

11 Machine Learning - Clustering/001 K-means clustering introduction.mp434.02MB

11 Machine Learning - Clustering/002 K-means clustering example.mp417.11MB

11 Machine Learning - Clustering/003 DBSCAN clustering introduction.mp425.57MB

11 Machine Learning - Clustering/004 Hierarchical clustering introduction.mp422.85MB

11 Machine Learning - Clustering/005 Hierarchical clustering example.mp413.58MB

12 Machine Learning - Neural Networks/001 Introduction.mp416.57MB

12 Machine Learning - Neural Networks/002 Simple example - logical AND table.mp430.06MB

12 Machine Learning - Neural Networks/003 Training a neural network.mp436.1MB

12 Machine Learning - Neural Networks/004 Complex neural networks.mp434.83MB

12 Machine Learning - Neural Networks/005 Applications of neural networks.mp424.97MB

12 Machine Learning - Neural Networks/006 Deep learning.mp411.23MB

12 Machine Learning - Neural Networks/007 Neural network example - XOR problem.mp425.12MB

13 Outro/001 Final words.mp46.21MB