Torrent Details for Udemy Artificial Intelligence Reinforcement Learning in Python Desire Course

Udemy Artificial Intelligence Reinforcement Learning in Python Desire Course

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Torrent Info

Category	Other
Added	Saturday 28th October 2023 07:10:41 PM (3 years ago)
Size	1.9 GB
Peers	0 Peers (0 Seeders and 0 leechers) update
Downloaded	3 times
Uploader	CourseClub Thank You (0) Report Torrent 00/0
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Tags	English
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Torrent Files (199)

Filename	Size
1. Welcome/1. Introduction.mp4	34.2 MB
1. Welcome/1. Introduction.srt	4.2 KB
1. Welcome/2. Where to get the Code.mp4	4.4 MB
1. Welcome/2. Where to get the Code.srt	5.4 KB
1. Welcome/3. Strategy for Passing the Course.mp4	9.5 MB
1. Welcome/3. Strategy for Passing the Course.srt	11.8 KB
1. Welcome/4. Course Outline.mp4	31.0 MB
1. Welcome/4. Course Outline.srt	6.8 KB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.mp4	26.8 MB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.srt	6.8 KB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4	52.0 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.srt	15.7 KB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4	44.9 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.srt	12.0 KB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.mp4	23.3 MB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.srt	8.5 KB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4	49.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.srt	9.6 KB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4	65.3 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.srt	11.8 KB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.mp4	33.7 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.srt	5.4 KB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4	49.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.srt	8.0 KB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.mp4	15.8 MB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.srt	4.3 KB
11. Appendix FAQ/1. What is the Appendix.mp4	5.5 MB
11. Appendix FAQ/1. What is the Appendix.srt	3.7 KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4	29.3 MB
11. Appendix FAQ/10. What order should I take your courses in (part 1).srt	16.0 KB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4	37.6 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).srt	23.0 KB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4	37.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt	7.9 KB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4	186.4 MB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt	20.1 KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	18.3 KB
11. Appendix FAQ/4. How to Code by Yourself (part 1).mp4	24.5 MB
11. Appendix FAQ/4. How to Code by Yourself (part 1).srt	30.2 KB
11. Appendix FAQ/5. How to Code by Yourself (part 2).mp4	14.8 MB
11. Appendix FAQ/5. How to Code by Yourself (part 2).srt	18.4 KB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4	18.3 MB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt	14.5 KB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	39.0 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	31.8 KB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4	78.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt	14.1 KB
11. Appendix FAQ/9. Python 2 vs Python 3.mp4	7.8 MB
11. Appendix FAQ/9. Python 2 vs Python 3.srt	6.1 KB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4	6.5 MB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.srt	7.8 KB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	10.6 MB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.srt	6.1 KB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp4	7.5 MB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.srt	7.8 KB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4	33.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.srt	9.1 KB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4	51.2 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.srt	10.9 KB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp4	2.8 MB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.srt	3.2 KB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp4	2.2 MB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.srt	2.2 KB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4	24.5 MB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.srt	5.6 KB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp4	8.0 MB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.srt	5.3 KB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp4	15.8 MB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.srt	3.1 KB
2. Return of the Multi-Armed Bandit/8. UCB1.mp4	8.2 MB
2. Return of the Multi-Armed Bandit/8. UCB1.srt	8.1 KB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4	51.8 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.srt	11.8 KB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4	54.6 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.srt	10.9 KB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4	37.1 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.srt	7.9 KB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4	42.3 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.srt	9.1 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.srt	7.2 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.srt	9.2 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.srt	10.2 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.srt	4.6 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.srt	14.8 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.srt	4.9 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.srt	22.8 KB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4	5.0 MB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.srt	6.4 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.srt	4.9 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.srt	11.3 KB
4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.mp4	10.0 MB
4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.srt	12.0 KB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4	9.0 MB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.srt	10.9 KB
5. Markov Decision Proccesses/1. Gridworld.mp4	3.4 MB
5. Markov Decision Proccesses/1. Gridworld.srt	4.0 KB
5. Markov Decision Proccesses/2. The Markov Property.mp4	7.2 MB
5. Markov Decision Proccesses/2. The Markov Property.srt	8.4 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.srt	7.9 KB
5. Markov Decision Proccesses/4. Future Rewards.mp4	5.2 MB
5. Markov Decision Proccesses/4. Future Rewards.srt	6.0 KB
5. Markov Decision Proccesses/5. Value Function Introduction.mp4	19.7 MB
5. Markov Decision Proccesses/5. Value Function Introduction.srt	15.6 KB
5. Markov Decision Proccesses/6. Value Functions.mp4	8.3 MB
5. Markov Decision Proccesses/6. Value Functions.srt	11.8 KB
5. Markov Decision Proccesses/7. Bellman Examples.mp4	87.1 MB
5. Markov Decision Proccesses/7. Bellman Examples.srt	27.7 KB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4	3.2 MB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.srt	5.0 KB
5. Markov Decision Proccesses/9. MDP Summary.mp4	5.7 MB
5. Markov Decision Proccesses/9. MDP Summary.srt	2.0 KB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4	4.8 MB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt	5.4 KB
6. Dynamic Programming/10. Value Iteration in Code.mp4	4.9 MB
6. Dynamic Programming/10. Value Iteration in Code.srt	3.3 KB
6. Dynamic Programming/11. Dynamic Programming Summary.mp4	8.3 MB
6. Dynamic Programming/11. Dynamic Programming Summary.srt	9.4 KB
6. Dynamic Programming/2. Gridworld in Code.mp4	11.5 MB
6. Dynamic Programming/2. Gridworld in Code.srt	11.0 KB
6. Dynamic Programming/3. Designing Your RL Program.mp4	22.3 MB
6. Dynamic Programming/3. Designing Your RL Program.srt	6.6 KB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4	12.1 MB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.srt	10.2 KB
6. Dynamic Programming/5. Policy Improvement.mp4	4.5 MB
6. Dynamic Programming/5. Policy Improvement.srt	5.2 KB
6. Dynamic Programming/6. Policy Iteration.mp4	3.1 MB
6. Dynamic Programming/6. Policy Iteration.srt	3.5 KB
6. Dynamic Programming/7. Policy Iteration in Code.mp4	7.6 MB
6. Dynamic Programming/7. Policy Iteration in Code.srt	6.1 KB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.mp4	9.1 MB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.srt	8.2 KB
6. Dynamic Programming/9. Value Iteration.mp4	6.2 MB
6. Dynamic Programming/9. Value Iteration.srt	7.0 KB
7. Monte Carlo/1. Monte Carlo Intro.mp4	5.0 MB
7. Monte Carlo/1. Monte Carlo Intro.srt	6.0 KB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4	8.8 MB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.srt	10.8 KB
7. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.mp4	7.9 MB
7. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.srt	6.1 KB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4	7.8 MB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.srt	5.3 KB
7. Monte Carlo/5. Monte Carlo Control.mp4	9.3 MB
7. Monte Carlo/5. Monte Carlo Control.srt	10.2 KB
7. Monte Carlo/6. Monte Carlo Control in Code.mp4	10.2 MB
7. Monte Carlo/6. Monte Carlo Control in Code.srt	5.8 KB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.mp4	4.6 MB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.srt	5.5 KB
7. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.mp4	8.1 MB
7. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.srt	3.6 KB
7. Monte Carlo/9. Monte Carlo Summary.mp4	5.7 MB
7. Monte Carlo/9. Monte Carlo Summary.srt	7.1 KB
8. Temporal Difference Learning/1. Temporal Difference Intro.mp4	2.7 MB
8. Temporal Difference Learning/1. Temporal Difference Intro.srt	3.3 KB
8. Temporal Difference Learning/2. TD(0) Prediction.mp4	5.8 MB
8. Temporal Difference Learning/2. TD(0) Prediction.srt	6.4 KB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.mp4	5.3 MB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.srt	4.0 KB
8. Temporal Difference Learning/4. SARSA.mp4	8.2 MB
8. Temporal Difference Learning/4. SARSA.srt	9.7 KB
8. Temporal Difference Learning/5. SARSA in Code.mp4	8.8 MB
8. Temporal Difference Learning/5. SARSA in Code.srt	5.5 KB
8. Temporal Difference Learning/6. Q Learning.mp4	4.8 MB
8. Temporal Difference Learning/6. Q Learning.srt	5.8 KB
8. Temporal Difference Learning/7. Q Learning in Code.mp4	5.4 MB
8. Temporal Difference Learning/7. Q Learning in Code.srt	3.5 KB
8. Temporal Difference Learning/8. TD Summary.mp4	3.9 MB
8. Temporal Difference Learning/8. TD Summary.srt	4.7 KB
9. Approximation Methods/1. Approximation Intro.mp4	6.5 MB
9. Approximation Methods/1. Approximation Intro.srt	8.0 KB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4	6.5 MB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.srt	7.4 KB
9. Approximation Methods/3. Features.mp4	6.3 MB
9. Approximation Methods/3. Features.srt	6.9 KB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4	2.8 MB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.srt	2.3 KB
9. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.mp4	6.6 MB
9. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.srt	4.0 KB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4	8.4 MB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.srt	6.4 KB
9. Approximation Methods/7. Semi-Gradient SARSA.mp4	4.7 MB
9. Approximation Methods/7. Semi-Gradient SARSA.srt	5.5 KB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4	10.6 MB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.srt	5.4 KB
9. Approximation Methods/9. Course Summary and Next Steps.mp4	13.2 MB
9. Approximation Methods/9. Course Summary and Next Steps.srt	16.0 KB
[CourseClub.Me].url	48 bytes
[DesireCourse.Net].url	51 bytes
[FreeCourseWorld.Com].url	54 bytes

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