LinkedIn Learning Getting Started with AI and Machine Learning Complete Courses Reinforcement Learning Foundations Monte Carlo Method Exploration and exploitation mp4

LinkedIn Learning Getting Started with AI and Machine Learning Complete Courses
Reinforcement Learning Foundations Monte Carlo Method Exploration and exploitation mp4

Name	[LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses	DOWNLOAD Copy Link
Total Size	1.9 GB
Total Files	408
Last Seen	2025-03-14 23:38
Hash	AD3F47E9AA6BF9084D2D7E77062D9A0DD0A4A4A7

/Reinforcement Learning Foundations/3 - Monte Carlo Method/2. Exploration and exploitation.mp4	8.1 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/2. Exploration and exploitation.srt	3.6 KB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/6. Additional modifications.mp4	4.8 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/6. Additional modifications.srt	4.3 KB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/3. Monte Carlo prediction.mp4	2.5 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/5. Monte Carlo control.mp4	1.5 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/3. Monte Carlo prediction.srt	2.7 KB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/1. The setting.mp4	3.4 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/5. Monte Carlo control.srt	1.4 KB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/1. The setting.srt	2.2 KB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/4. First visit and every visit MC prediction.mp4	7.2 MB
/Reinforcement Learning Foundations/3 - Monte Carlo Method/4. First visit and every visit MC prediction.srt	2.8 KB
/Reinforcement Learning Foundations/4 - Temporal Difference Methods/4. Expected SARSA.mp4	7.4 MB
/Reinforcement Learning Foundations/0 - Introduction/1. Reinforcement learning in a nutshell.mp4	3.8 MB
/Reinforcement Learning Foundations/4 - Temporal Difference Methods/1. The setting.mp4	5.4 MB
Showing first 15 files of 408 total files