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Udemy Recommender System With Machine Learning and Statistics

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Udemy Recommender System With Machine Learning and Statistics
Language: English
Category: Other
Size: 484.3 MB
Added: Oct. 24, 2023, 4:21 p.m.
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1. Why Business Needs Recommender Systems.mp4 25.7 MB
  3. 1. Why Business Needs Recommender Systems.srt 1.8 KB
  4. 1. Roadmap of the Course.mp4 3.5 MB
  5. 1. Roadmap of the Course.srt 1.1 KB
  6. 1. The Hypotheses Behind the Main Solutions of Recommender Systems.mp4 66.5 MB
  7. 1. The Hypotheses Behind the Main Solutions of Recommender Systems.srt 4.8 KB
  8. 1. A Quick Eda on the Grocery Dataset.mp4 49.3 MB
  9. 1. A Quick Eda on the Grocery Dataset.srt 4.6 KB
  10. 2. What Is Collaborative Filtering in Depth.mp4 11.0 MB
  11. 2. What Is Collaborative Filtering in Depth.srt 4.1 KB
  12. 3. How to Build and Train Collaborative Filtering Model With Fast.ai.mp4 90.3 MB
  13. 3. How to Build and Train Collaborative Filtering Model With Fast.ai.srt 5.7 KB
  14. 4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.mp4 85.1 MB
  15. 4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.srt 5.0 KB
  16. 1. What Is the Definition of Popularity and What Is Support.mp4 38.1 MB
  17. 1. What Is the Definition of Popularity and What Is Support.srt 4.2 KB
  18. 2. How to Encode an Item-Order Matrix.mp4 31.2 MB
  19. 2. How to Encode an Item-Order Matrix.srt 2.1 KB
  20. 3. What Are Confidence and Lift.mp4 23.8 MB
  21. 3. What Are Confidence and Lift.srt 1.9 KB
  22. 4. What Is Association Rule and How to Apply Apriori Algorithm.mp4 10.5 MB
  23. 4. What Is Association Rule and How to Apply Apriori Algorithm.srt 2.7 KB
  24. 5. How to Evaluate Results With Selected Criteria.mp4 42.7 MB
  25. 5. How to Evaluate Results With Selected Criteria.srt 1.6 KB
  26. 1. End-Of-Course Conclusion.mp4 6.6 MB
  27. 1. End-Of-Course Conclusion.srt 796 bytes
  28. Bonus Resources.txt 357 bytes

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