Tutorialsplanet NET Udemy Artificial Intelligence Reinforcement Learning in Python 10 Setting Up Your Environment How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow srt

Tutorialsplanet NET Udemy Artificial Intelligence Reinforcement Learning in Python
10 Setting Up Your Environment How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow srt

Name	[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.3 GB
Total Files	215
Hash	1354286108BBA68822D0987E222162CEDF3C69A2

/10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	18.8 KB
/10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
/10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.srt	21.9 KB
/10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4	195.4 MB
/2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.srt	16.9 KB
/2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.srt	10.3 KB
/5. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt	5.5 KB
/2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.srt	8.3 KB
/1. Welcome/4. How to Succeed in this Course.srt	4.5 KB
/11. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.srt	6.6 KB
/5. Dynamic Programming/4. Iterative Policy Evaluation in Code.srt	18.5 KB
/6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.srt	6.3 KB
/6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.srt	3.7 KB
/2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt	18.8 KB
/2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt	26.3 KB
Showing first 15 files of 215 total files