Site NEWS just posted! Please click here to check it out!

Udemy - Artificial Intelligence: Reinforcement Learning in Python [Giga Course]

Torrent Info
Category Other
Added Wednesday 20th October 2021 12:00:00 AM (5 years ago)
Size4.1 GB
Peers1 Peers (0 Seeders and 1 leechers) update
Downloaded135 times
UploaderCourseClub  Thank You  (0) Report Torrent 00/0
CommentsNone
Uploader Comments
None
Tags English
Seeders0
Leechers1
Torrent Screenshots

There are no images posted for this torrent.

NFO
No NFO was added for this torrent.
Torrent Files (228)
FilenameSize
0. Websites you may like/[CourseClub.ME].url122 bytes
0. Websites you may like/[GigaCourse.Com].url49 bytes
1. Welcome/1. Introduction-en_US.srt4.0 KB
1. Welcome/1. Introduction.mp434.2 MB
1. Welcome/2. Course Outline and Big Picture-en_US.srt10.0 KB
1. Welcome/2. Course Outline and Big Picture.mp439.7 MB
1. Welcome/3. External URLs.txt75 bytes
1. Welcome/3. Where to get the Code-en_US.srt6.1 KB
1. Welcome/3. Where to get the Code.mp422.7 MB
1. Welcome/4. How to Succeed in this Course-en_US.srt7.9 KB
1. Welcome/4. How to Succeed in this Course.mp443.8 MB
1. Welcome/5. Warmup-en_US.srt18.1 KB
1. Welcome/5. Warmup.mp462.6 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead-en_US.srt19.9 KB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp483.8 MB
10. Stock Trading Project with Reinforcement Learning/10. Stock Trading Project Discussion-en_US.srt4.2 KB
10. Stock Trading Project with Reinforcement Learning/10. Stock Trading Project Discussion.mp415.8 MB
10. Stock Trading Project with Reinforcement Learning/2. Stock Trading Project Section Introduction-en_US.srt6.6 KB
10. Stock Trading Project with Reinforcement Learning/2. Stock Trading Project Section Introduction.mp426.8 MB
10. Stock Trading Project with Reinforcement Learning/3. Data and Environment-en_US.srt15.1 KB
10. Stock Trading Project with Reinforcement Learning/3. Data and Environment.mp452.0 MB
10. Stock Trading Project with Reinforcement Learning/4. How to Model Q for Q-Learning-en_US.srt11.6 KB
10. Stock Trading Project with Reinforcement Learning/4. How to Model Q for Q-Learning.mp444.9 MB
10. Stock Trading Project with Reinforcement Learning/5. Design of the Program-en_US.srt8.2 KB
10. Stock Trading Project with Reinforcement Learning/5. Design of the Program.mp423.3 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 1-en_US.srt9.3 KB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 1.mp449.7 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2-en_US.srt11.3 KB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp465.3 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 3-en_US.srt5.2 KB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 3.mp433.7 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4-en_US.srt7.9 KB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp452.9 MB
10. Stock Trading Project with Reinforcement Learning/[CourseClub.Me].url122 bytes
10. Stock Trading Project with Reinforcement Learning/[GigaCourse.Com].url49 bytes
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt19.3 KB
11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4186.4 MB
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt15.7 KB
11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.9 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt26.0 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp424.5 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt15.8 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp414.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt13.5 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp478.3 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-en_US.srt5.9 KB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp47.8 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt14.0 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp418.3 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439.0 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt15.4 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp429.3 MB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt22.2 KB
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp437.6 MB
14. Appendix FAQ Finale/1. What is the Appendix-en_US.srt3.6 KB
14. Appendix FAQ Finale/1. What is the Appendix.mp45.5 MB
14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt7.6 KB
14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp437.8 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma-en_US.srt13.0 KB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp452.0 MB
2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt-en_US.srt2.8 KB
2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt.mp413.8 MB
2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code-en_US.srt5.0 KB
2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code.mp424.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory-en_US.srt19.2 KB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp455.5 MB
2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt-en_US.srt2.6 KB
2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt.mp412.7 MB
2. Return of the Multi-Armed Bandit/14. UCB1 Code-en_US.srt3.6 KB
2. Return of the Multi-Armed Bandit/14. UCB1 Code.mp420.7 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1)-en_US.srt16.1 KB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp455.9 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2)-en_US.srt22.7 KB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp474.5 MB
2. Return of the Multi-Armed Bandit/17. Thompson Sampling Beginner's Exercise Prompt-en_US.srt3.3 KB
2. Return of the Multi-Armed Bandit/17. Thompson Sampling Beginner's Exercise Prompt.mp417.9 MB
2. Return of the Multi-Armed Bandit/18. Thompson Sampling Code-en_US.srt5.4 KB
2. Return of the Multi-Armed Bandit/18. Thompson Sampling Code.mp432.8 MB
2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory-en_US.srt14.4 KB
2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.mp448.5 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma-en_US.srt10.5 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/20. Thompson Sampling With Gaussian Reward Code-en_US.srt7.0 KB
2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.mp443.4 MB
2. Return of the Multi-Armed Bandit/21. Why don't we just use a library-en_US.srt7.3 KB
2. Return of the Multi-Armed Bandit/21. Why don't we just use a library.mp427.4 MB
2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits-en_US.srt9.2 KB
2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits.mp431.0 MB
2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning-en_US.srt8.8 KB
2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.mp434.6 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs-en_US.srt13.9 KB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp450.3 MB
2. Return of the Multi-Armed Bandit/25. Suggestion Box-en_US.srt4.5 KB
2. Return of the Multi-Armed Bandit/25. Suggestion Box.mp416.1 MB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory-en_US.srt9.1 KB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory.mp428.3 MB
2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1)-en_US.srt7.2 KB
2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1).mp423.1 MB
2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt-en_US.srt6.2 KB
2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt.mp428.7 MB
2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program-en_US.srt5.4 KB
2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program.mp424.5 MB
2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code-en_US.srt8.3 KB
2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code.mp441.4 MB
2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons-en_US.srt6.5 KB
2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons.mp443.7 MB
2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory-en_US.srt6.9 KB
2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory.mp423.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning-en_US.srt10.5 KB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp454.6 MB
3. High Level Overview of Reinforcement Learning/2. From Bandits to Full Reinforcement Learning-en_US.srt11.6 KB
3. High Level Overview of Reinforcement Learning/2. From Bandits to Full Reinforcement Learning.mp441.2 MB
3. High Level Overview of Reinforcement Learning/[CourseClub.Me].url122 bytes
3. High Level Overview of Reinforcement Learning/[GigaCourse.Com].url49 bytes
4. Markov Decision Proccesses/1. MDP Section Introduction-en_US.srt8.0 KB
4. Markov Decision Proccesses/1. MDP Section Introduction.mp437.2 MB
4. Markov Decision Proccesses/10. The Bellman Equation (pt 3)-en_US.srt7.4 KB
4. Markov Decision Proccesses/10. The Bellman Equation (pt 3).mp424.7 MB
4. Markov Decision Proccesses/11. Bellman Examples-en_US.srt26.6 KB
4. Markov Decision Proccesses/11. Bellman Examples.mp487.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1)-en_US.srt11.0 KB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp456.1 MB
4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2)-en_US.srt4.9 KB
4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2).mp415.7 MB
4. Markov Decision Proccesses/14. MDP Summary-en_US.srt3.5 KB
4. Markov Decision Proccesses/14. MDP Summary.mp414.3 MB
4. Markov Decision Proccesses/2. Gridworld-en_US.srt16.6 KB
4. Markov Decision Proccesses/2. Gridworld.mp454.0 MB
4. Markov Decision Proccesses/3. Choosing Rewards-en_US.srt5.2 KB
4. Markov Decision Proccesses/3. Choosing Rewards.mp432.5 MB
4. Markov Decision Proccesses/4. The Markov Property-en_US.srt7.7 KB
4. Markov Decision Proccesses/4. The Markov Property.mp421.8 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs)-en_US.srt18.8 KB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp461.7 MB
4. Markov Decision Proccesses/6. Future Rewards-en_US.srt12.2 KB
4. Markov Decision Proccesses/6. Future Rewards.mp439.5 MB
4. Markov Decision Proccesses/7. Value Functions-en_US.srt6.4 KB
4. Markov Decision Proccesses/7. Value Functions.mp418.5 MB
4. Markov Decision Proccesses/8. The Bellman Equation (pt 1)-en_US.srt10.7 KB
4. Markov Decision Proccesses/8. The Bellman Equation (pt 1).mp427.8 MB
4. Markov Decision Proccesses/9. The Bellman Equation (pt 2)-en_US.srt8.2 KB
4. Markov Decision Proccesses/9. The Bellman Equation (pt 2).mp426.7 MB
5. Dynamic Programming/1. Dynamic Programming Section Introduction-en_US.srt11.9 KB
5. Dynamic Programming/1. Dynamic Programming Section Introduction.mp434.7 MB
5. Dynamic Programming/10. Policy Iteration in Code-en_US.srt10.4 KB
5. Dynamic Programming/10. Policy Iteration in Code.mp456.4 MB
5. Dynamic Programming/11. Policy Iteration in Windy Gridworld-en_US.srt10.6 KB
5. Dynamic Programming/11. Policy Iteration in Windy Gridworld.mp451.4 MB
5. Dynamic Programming/12. Value Iteration-en_US.srt9.3 KB
5. Dynamic Programming/12. Value Iteration.mp435.3 MB
5. Dynamic Programming/13. Value Iteration in Code-en_US.srt8.5 KB
5. Dynamic Programming/13. Value Iteration in Code.mp445.7 MB
5. Dynamic Programming/14. Dynamic Programming Summary-en_US.srt6.3 KB
5. Dynamic Programming/14. Dynamic Programming Summary.mp425.1 MB
5. Dynamic Programming/2. Iterative Policy Evaluation-en_US.srt20.4 KB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp460.8 MB
5. Dynamic Programming/3. Designing Your RL Program-en_US.srt6.4 KB
5. Dynamic Programming/3. Designing Your RL Program.mp422.3 MB
5. Dynamic Programming/4. Gridworld in Code-en_US.srt15.7 KB
5. Dynamic Programming/4. Gridworld in Code.mp446.8 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code-en_US.srt15.6 KB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp468.4 MB
5. Dynamic Programming/6. Windy Gridworld in Code-en_US.srt10.0 KB
5. Dynamic Programming/6. Windy Gridworld in Code.mp441.5 MB
5. Dynamic Programming/7. Iterative Policy Evaluation for Windy Gridworld in Code-en_US.srt9.3 KB
5. Dynamic Programming/7. Iterative Policy Evaluation for Windy Gridworld in Code.mp446.9 MB
5. Dynamic Programming/8. Policy Improvement-en_US.srt14.2 KB
5. Dynamic Programming/8. Policy Improvement.mp444.0 MB
5. Dynamic Programming/9. Policy Iteration-en_US.srt10.0 KB
5. Dynamic Programming/9. Policy Iteration.mp434.2 MB
6. Monte Carlo/1. Monte Carlo Intro-en_US.srt12.1 KB
6. Monte Carlo/1. Monte Carlo Intro.mp447.6 MB
6. Monte Carlo/2. Monte Carlo Policy Evaluation-en_US.srt14.1 KB
6. Monte Carlo/2. Monte Carlo Policy Evaluation.mp447.1 MB
6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code-en_US.srt10.2 KB
6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.mp451.6 MB
6. Monte Carlo/4. Monte Carlo Control-en_US.srt11.2 KB
6. Monte Carlo/4. Monte Carlo Control.mp435.6 MB
6. Monte Carlo/5. Monte Carlo Control in Code-en_US.srt10.7 KB
6. Monte Carlo/5. Monte Carlo Control in Code.mp464.4 MB
6. Monte Carlo/6. Monte Carlo Control without Exploring Starts-en_US.srt5.6 KB
6. Monte Carlo/6. Monte Carlo Control without Exploring Starts.mp423.4 MB
6. Monte Carlo/7. Monte Carlo Control without Exploring Starts in Code-en_US.srt6.9 KB
6. Monte Carlo/7. Monte Carlo Control without Exploring Starts in Code.mp440.7 MB
6. Monte Carlo/8. Monte Carlo Summary-en_US.srt2.1 KB
6. Monte Carlo/8. Monte Carlo Summary.mp411.4 MB
7. Temporal Difference Learning/1. Temporal Difference Introduction-en_US.srt5.0 KB
7. Temporal Difference Learning/1. Temporal Difference Introduction.mp414.4 MB
7. Temporal Difference Learning/2. TD(0) Prediction-en_US.srt6.6 KB
7. Temporal Difference Learning/2. TD(0) Prediction.mp415.8 MB
7. Temporal Difference Learning/3. TD(0) Prediction in Code-en_US.srt5.8 KB
7. Temporal Difference Learning/3. TD(0) Prediction in Code.mp432.4 MB
7. Temporal Difference Learning/4. SARSA-en_US.srt5.8 KB
7. Temporal Difference Learning/4. SARSA.mp416.2 MB
7. Temporal Difference Learning/5. SARSA in Code-en_US.srt7.4 KB
7. Temporal Difference Learning/5. SARSA in Code.mp444.9 MB
7. Temporal Difference Learning/6. Q Learning-en_US.srt6.1 KB
7. Temporal Difference Learning/6. Q Learning.mp419.8 MB
7. Temporal Difference Learning/7. Q Learning in Code-en_US.srt5.8 KB
7. Temporal Difference Learning/7. Q Learning in Code.mp438.5 MB
7. Temporal Difference Learning/8. TD Learning Section Summary-en_US.srt2.9 KB
7. Temporal Difference Learning/8. TD Learning Section Summary.mp410.0 MB
8. Approximation Methods/1. Approximation Methods Section Introduction-en_US.srt5.6 KB
8. Approximation Methods/1. Approximation Methods Section Introduction.mp422.1 MB
8. Approximation Methods/10. Approximation Methods Exercise-en_US.srt5.1 KB
8. Approximation Methods/10. Approximation Methods Exercise.mp417.5 MB
8. Approximation Methods/11. Approximation Methods Section Summary-en_US.srt3.8 KB
8. Approximation Methods/11. Approximation Methods Section Summary.mp421.8 MB
8. Approximation Methods/2. Linear Models for Reinforcement Learning-en_US.srt11.0 KB
8. Approximation Methods/2. Linear Models for Reinforcement Learning.mp431.1 MB
8. Approximation Methods/3. Feature Engineering-en_US.srt13.9 KB
8. Approximation Methods/3. Feature Engineering.mp445.9 MB
8. Approximation Methods/4. Approximation Methods for Prediction-en_US.srt12.1 KB
8. Approximation Methods/4. Approximation Methods for Prediction.mp434.3 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code-en_US.srt10.2 KB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp462.3 MB
8. Approximation Methods/6. Approximation Methods for Control-en_US.srt5.5 KB
8. Approximation Methods/6. Approximation Methods for Control.mp417.6 MB
8. Approximation Methods/7. Approximation Methods for Control Code-en_US.srt10.5 KB
8. Approximation Methods/7. Approximation Methods for Control Code.mp477.7 MB
8. Approximation Methods/8. CartPole-en_US.srt7.0 KB
8. Approximation Methods/8. CartPole.mp426.9 MB
8. Approximation Methods/9. CartPole Code-en_US.srt6.5 KB
8. Approximation Methods/9. CartPole Code.mp446.8 MB
9. Interlude Common Beginner Questions/1. This Course vs. RL Book What's the Difference-en_US.srt9.9 KB
9. Interlude Common Beginner Questions/1. This Course vs. RL Book What's the Difference.mp438.2 MB
[CourseClub.Me].url122 bytes
[GigaCourse.Com].url49 bytes
Comments
Similar torrents