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Packt Mastering Unsupervised Learning with Python

  • 收录时间:2018-08-19 18:22:01
  • 文件大小:834MB
  • 下载次数:137
  • 最近下载:2020-12-27 18:07:02
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文件列表

  1. 03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 79MB
  2. Exercise Files/exercise_files.zip 68MB
  3. 01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 49MB
  4. 01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 44MB
  5. 02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 43MB
  6. 01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 42MB
  7. 03.Manifold and Deep Learning for High-Dimensional Data/0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp4 41MB
  8. 01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 38MB
  9. 02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 34MB
  10. 01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 34MB
  11. 03.Manifold and Deep Learning for High-Dimensional Data/0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp4 32MB
  12. 02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 32MB
  13. 03.Manifold and Deep Learning for High-Dimensional Data/0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp4 31MB
  14. 02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 30MB
  15. 01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 29MB
  16. 03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 28MB
  17. 02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 28MB
  18. 02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 27MB
  19. 02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 27MB
  20. 03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 26MB
  21. 03.Manifold and Deep Learning for High-Dimensional Data/0301.Manifold Learning Introduction – Part 1.mp4 26MB
  22. 03.Manifold and Deep Learning for High-Dimensional Data/0302.Manifold Learning Introduction – Part 2.mp4 22MB
  23. 01.Advanced Clustering Methods Selecting the Best Algorithm/0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp4 22MB
  24. 01.Advanced Clustering Methods Selecting the Best Algorithm/0101.The Course Overview.mp4 284B