[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning In Python

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[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

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[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python.torrent
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186fe32040da9247b2eeaf42415f6d0019895524
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1.9 GB in 99 files
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Uploaded on 08-02-2020 by our crawler pet called "Spidey".
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Description

Artificial Intelligence: Reinforcement Learning in Python

Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning

For More Courses Visit: https://desirecourse.net

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Files in this torrent

FILENAMESIZE
1. Welcome/1. Introduction.mp434.2 MB
1. Welcome/1. Introduction.srt4.2 KB
1. Welcome/2. Where to get the Code.mp44.4 MB
1. Welcome/2. Where to get the Code.srt5.4 KB
1. Welcome/3. Strategy for Passing the Course.mp49.5 MB
1. Welcome/3. Strategy for Passing the Course.srt11.8 KB
1. Welcome/4. Course Outline.mp431 MB
1. Welcome/4. Course Outline.srt6.8 KB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.mp426.8 MB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.srt6.8 KB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp452 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.srt15.7 KB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp444.9 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.srt12 KB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.mp423.3 MB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.srt8.5 KB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp449.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.srt9.6 KB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp465.3 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.srt11.8 KB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.mp433.7 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.srt5.4 KB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp449.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.srt8 KB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.mp415.8 MB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.srt4.3 KB
11. Appendix FAQ/1. What is the Appendix.mp45.5 MB
11. Appendix FAQ/1. What is the Appendix.srt3.7 KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp429.3 MB
11. Appendix FAQ/10. What order should I take your courses in (part 1).srt16 KB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp437.6 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).srt23 KB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp437.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt7.9 KB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4186.4 MB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt20.1 KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.9 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt18.3 KB
11. Appendix FAQ/4. How to Code by Yourself (part 1).mp424.5 MB
11. Appendix FAQ/4. How to Code by Yourself (part 1).srt30.2 KB
11. Appendix FAQ/5. How to Code by Yourself (part 2).mp414.8 MB
11. Appendix FAQ/5. How to Code by Yourself (part 2).srt18.4 KB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp418.3 MB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt14.5 KB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt31.8 KB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp478.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt14.1 KB
11. Appendix FAQ/9. Python 2 vs Python 3.mp47.8 MB
11. Appendix FAQ/9. Python 2 vs Python 3.srt6.1 KB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp46.5 MB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.srt7.8 KB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp410.6 MB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.srt6.1 KB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp47.5 MB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.srt7.8 KB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp433.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.srt9.1 KB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp451.2 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.srt10.9 KB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp42.8 MB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.srt3.2 KB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp42.2 MB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.srt2.2 KB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp424.5 MB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.srt5.6 KB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp48 MB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.srt5.3 KB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp415.8 MB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.srt3.1 KB
2. Return of the Multi-Armed Bandit/8. UCB1.mp48.2 MB
2. Return of the Multi-Armed Bandit/8. UCB1.srt8.1 KB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp451.8 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.srt11.8 KB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp454.6 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.srt10.9 KB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp437.1 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.srt7.9 KB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp442.3 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.srt9.1 KB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp46.1 MB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.srt7.2 KB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp49.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.srt9.2 KB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp48.3 MB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.srt10.2 KB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp419.8 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.srt4.6 KB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp412.7 MB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.srt14.8 KB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp44.2 MB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.srt4.9 KB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4103.7 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.srt22.8 KB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp45 MB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.srt6.4 KB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp44.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.srt4.9 KB
4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.mp49.8 MB

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