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[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning In Python

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[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

NAME: [Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python.torrent

CATEGORY: Other

INFOHASH: 08754a2fd2a4e88c8746ea5804e7c4a6f9545715

SIZE: 1.5 GB in 99 files

ADDED: Uploaded on 08-02-2020 by our crawler pet called "Spidey".

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Files in this torrent

FILENAME		SIZE
	1. Welcome/1. Introduction.mp4	34.2 MB
	1. Welcome/1. Introduction.vtt	3.9 KB
	1. Welcome/2. Where to get the Code.mp4	4.5 MB
	1. Welcome/2. Where to get the Code.vtt	4.9 KB
	1. Welcome/3. Strategy for Passing the Course.mp4	9.5 MB
	1. Welcome/3. Strategy for Passing the Course.vtt	10.7 KB
	10. Appendix/1. What is the Appendix.mp4	5.5 MB
	10. Appendix/1. What is the Appendix.vtt	3.4 KB
	10. Appendix/10. What order should I take your courses in (part 1).mp4	29.3 MB
	10. Appendix/10. What order should I take your courses in (part 1).vtt	15.2 KB
	10. Appendix/11. What order should I take your courses in (part 2).mp4	37.6 MB
	10. Appendix/11. What order should I take your courses in (part 2).vtt	22.3 KB
	10. Appendix/12. Where to get discount coupons and FREE deep learning material.mp4	4 MB
	10. Appendix/12. Where to get discount coupons and FREE deep learning material.vtt	3.3 KB
	10. Appendix/2. Windows-Focused Environment Setup 2018.mp4	186.4 MB
	10. Appendix/2. Windows-Focused Environment Setup 2018.vtt	18.9 KB
	10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
	10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	16.6 KB
	10. Appendix/4. How to Code by Yourself (part 1).mp4	24.5 MB
	10. Appendix/4. How to Code by Yourself (part 1).vtt	27.3 KB
	10. Appendix/5. How to Code by Yourself (part 2).mp4	14.8 MB
	10. Appendix/5. How to Code by Yourself (part 2).vtt	16.7 KB
	10. Appendix/6. How to Succeed in this Course (Long Version).mp4	18.3 MB
	10. Appendix/6. How to Succeed in this Course (Long Version).vtt	13.7 KB
	10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	39 MB
	10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	29.9 KB
	10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4	78.3 MB
	10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt	13.2 KB
	10. Appendix/9. Python 2 vs Python 3.mp4	7.8 MB
	10. Appendix/9. Python 2 vs Python 3.vtt	5.9 KB
	2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4	54.6 MB
	2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt	42.9 MB
	2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4	37.1 MB
	2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.vtt	7.5 KB
	2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4	31 MB
	2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.vtt	6.1 KB
	2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4	42.3 MB
	2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.vtt	8.7 KB
	3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4	6.5 MB
	3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.vtt	7.1 KB
	3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	10.6 MB
	3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt	5.5 KB
	3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp4	7.5 MB
	3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.vtt	7.1 KB
	3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4	51.2 MB
	3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.vtt	10.3 KB
	3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp4	2.8 MB
	3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.vtt	2.9 KB
	3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp4	2.2 MB
	3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.vtt	2 KB
	3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4	24.5 MB
	3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.vtt	5.4 KB
	3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp4	8 MB
	3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.vtt	4.9 KB
	3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp4	5.1 MB
	3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.vtt	3 KB
	3. Return of the Multi-Armed Bandit/8. UCB1.mp4	8.2 MB
	3. Return of the Multi-Armed Bandit/8. UCB1.vtt	7.4 KB
	3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4	51.8 MB
	3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.vtt	11 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp4	6.1 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.vtt	6.6 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp4	9.4 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.vtt	8.4 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp4	8.3 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.vtt	9.3 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4	19.8 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.vtt	4 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4	12.7 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.vtt	13.4 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp4	4.2 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.vtt	4.5 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4	103.7 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt	21.7 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4	5 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.vtt	5.9 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp4	4.4 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.vtt	4.5 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.mp4	9.8 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.vtt	10.3 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.mp4	10 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.vtt	10.9 KB
	4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4	9 MB
	4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.vtt	10 KB
	5. Markov Decision Proccesses/1. Gridworld.mp4	3.4 MB
	5. Markov Decision Proccesses/1. Gridworld.vtt	3.7 KB
	5. Markov Decision Proccesses/2. The Markov Property.mp4	7.2 MB
	5. Markov Decision Proccesses/2. The Markov Property.vtt	7.7 KB
	5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.mp4	6.6 MB
	5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.vtt	7.2 KB
	5. Markov Decision Proccesses/4. Future Rewards.mp4	5.2 MB
	5. Markov Decision Proccesses/4. Future Rewards.vtt	5.5 KB
	5. Markov Decision Proccesses/5. Value Function Introduction.mp4	19.7 MB
	5. Markov Decision Proccesses/5. Value Function Introduction.vtt	14.5 KB
	5. Markov Decision Proccesses/6. Value Functions.mp4	8.3 MB
	5. Markov Decision Proccesses/6. Value Functions.vtt	11 KB
	5. Markov Decision Proccesses/7. Bellman Examples.mp4	87.1 MB
	5. Markov Decision Proccesses/7. Bellman Examples.vtt	25.8 KB
	5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4	3.2 MB

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[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning In Python

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