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- 【影视】 [FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]
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收录时间:2024-07-07
文档个数:119
文档大小:3.8 GB
最近下载:2025-05-09
人气:294
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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 196.8 MB- 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
- 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.3 MB
- 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 133.1 MB
- 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
- 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 119.9 MB
- 3. Collaborative Filtering/4. Data Preprocessing.mp4 112.1 MB
- 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
- 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 104.6 MB
- 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
- 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 98.9 MB
- 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
- 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 86.5 MB
- 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 75.8 MB
- 8. Appendix/6. How to Code by Yourself (part 1).mp4 73.2 MB
- 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
- 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 65.1 MB
- 3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 63.6 MB
- 8. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
- 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 58.8 MB
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- 【压缩文件】 Building Recommender Systems with Machine Learning and AI
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收录时间:2024-11-21
文档个数:5
文档大小:4.7 GB
最近下载:2025-05-16
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Building Recommender Systems with Machine Learning and AI.zip 4.7 GB
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