Udemy Contextual Multi Armed Bandit Problems in Python Contextual Bandit Problems Epsilon Greedy Algorithm Implementation mp4

Udemy Contextual Multi Armed Bandit Problems in Python
Contextual Bandit Problems Epsilon Greedy Algorithm Implementation mp4

Name	Udemy - Contextual Multi-Armed Bandit Problems in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.1 GB
Total Files	89
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Hash	D9F80CEE680EE8EE6C8224A08DEAA9DEE94593CD

5. Contextual Bandit Problems/8. Epsilon Greedy Algorithm Implementation.mp4	30.8 MB
5. Contextual Bandit Problems/3. LinUCB Algorithm Theory.mp4	62.1 MB
5. Contextual Bandit Problems/7. Test LinUCB Algorithm.mp4	72.1 MB
5. Contextual Bandit Problems/2. LinUCB Math Notations.mp4	52.4 MB
5. Contextual Bandit Problems/5. LinUCB Implementation Part 2.mp4	48.7 MB
5. Contextual Bandit Problems/6. LinUCB Implementation Part 3.mp4	44.7 MB
5. Contextual Bandit Problems/11. Real-world Case Dataset Explanation.mp4	58.9 MB
/5. Contextual Bandit Problems/4. LinUCB Implementation Part 1.mp4	137.5 MB
5. Contextual Bandit Problems/9. Simulation Functions.mp4	60.2 MB
5. Contextual Bandit Problems/13. Test Agents with Accuracy Metric.mp4	63.1 MB
5. Contextual Bandit Problems/12. Split Data into Train and Test.mp4	34.0 MB
5. Contextual Bandit Problems/17. Concept of LinUCB algorithm.html	0.1 KB
5. Contextual Bandit Problems/2.1 LinUCB_Notations.pdf	601.0 KB
5. Contextual Bandit Problems/10. Comparison of Epsilon Greedy and LinUCB with Toy Data.mp4	41.0 MB
5. Contextual Bandit Problems/16. Code for Contextual Bandit Problems.html	0.1 KB
Showing first 15 files of 89 total files