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[] cluster-analysis-unsupervised-machine-learning-python

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文件列表

  1. 05 Appendix/026 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 44MB
  2. 02 K-Means Clustering/008 Soft K-Means in Python Code.mp4 30MB
  3. 04 Gaussian Mixture Models GMMs/021 Write a Gaussian Mixture Model in Python Code.mp4 30MB
  4. 02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4 26MB
  5. 05 Appendix/027 How to Code by Yourself part 1.mp4 25MB
  6. 02 K-Means Clustering/010 Examples of where K-Means can fail.mp4 17MB
  7. 05 Appendix/028 How to Code by Yourself part 2.mp4 15MB
  8. 03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12MB
  9. 02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4 11MB
  10. 02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4 11MB
  11. 02 K-Means Clustering/014 One Way to Choose K.mp4 9MB
  12. 01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4 9MB
  13. 01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4 8MB
  14. 01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4 7MB
  15. 03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4 6MB
  16. 02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4 5MB
  17. 04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4 5MB
  18. 04 Gaussian Mixture Models GMMs/022 Practical Issues with GMM Singular Covariance.mp4 5MB
  19. 02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4 5MB
  20. 03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 4MB
  21. 02 K-Means Clustering/006 Soft K-Means.mp4 4MB
  22. 01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4 4MB
  23. 02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4 4MB
  24. 04 Gaussian Mixture Models GMMs/023 Kernel Density Estimation.mp4 4MB
  25. 04 Gaussian Mixture Models GMMs/024 Expectation-Maximization.mp4 4MB
  26. 02 K-Means Clustering/007 The K-Means Objective Function.mp4 3MB
  27. 04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4 3MB
  28. 04 Gaussian Mixture Models GMMs/025 Future Unsupervised Learning Algorithms You Will Learn.mp4 2MB
  29. Freetutorials.Us.url 119B
  30. [FreeTutorials.Us].txt 75B