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

seeders: 11
leechers: 11
updated:
Added by CourseClub in Other > Tutorials

Download Fast Safe Anonymous
movies, software, shows...

Files

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python 0. Websites you may like
  • [CourseClub.ME].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
1. Welcome
  • 1. Introduction-en_US.srt (4.0 KB)
  • 1. Introduction.mp4 (34.2 MB)
  • 2. Course Outline and Big Picture-en_US.srt (10.0 KB)
  • 2. Course Outline and Big Picture.mp4 (39.7 MB)
  • 3. External URLs.txt (0.1 KB)
  • 3. Where to get the Code-en_US.srt (6.1 KB)
  • 3. Where to get the Code.mp4 (22.7 MB)
  • 4. How to Succeed in this Course-en_US.srt (7.9 KB)
  • 4. How to Succeed in this Course.mp4 (43.8 MB)
  • 5. Warmup-en_US.srt (18.1 KB)
  • 5. Warmup.mp4 (62.6 MB)
10. Stock Trading Project with Reinforcement Learning
  • 1. Beginners, halt! Stop here if you skipped ahead-en_US.srt (19.9 KB)
  • 1. Beginners, halt! Stop here if you skipped ahead.mp4 (83.8 MB)
  • 10. Stock Trading Project Discussion-en_US.srt (4.2 KB)
  • 10. Stock Trading Project Discussion.mp4 (15.8 MB)
  • 2. Stock Trading Project Section Introduction-en_US.srt (6.6 KB)
  • 2. Stock Trading Project Section Introduction.mp4 (26.8 MB)
  • 3. Data and Environment-en_US.srt (15.1 KB)
  • 3. Data and Environment.mp4 (52.0 MB)
  • 4. How to Model Q for Q-Learning-en_US.srt (11.6 KB)
  • 4. How to Model Q for Q-Learning.mp4 (44.9 MB)
  • 5. Design of the Program-en_US.srt (8.2 KB)
  • 5. Design of the Program.mp4 (23.3 MB)
  • 6. Code pt 1-en_US.srt (9.3 KB)
  • 6. Code pt 1.mp4 (49.7 MB)
  • 7. Code pt 2-en_US.srt (11.3 KB)
  • 7. Code pt 2.mp4 (65.3 MB)
  • 8. Code pt 3-en_US.srt (5.2 KB)
  • 8. Code pt 3.mp4 (33.7 MB)
  • 9. Code pt 4-en_US.srt (7.9 KB)
  • 9. Code pt 4.mp4 (52.9 MB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
11. Setting Up Your Environment (FAQ by Student Request)
  • 1. Windows-Focused Environment Setup 2018-en_US.srt (19.3 KB)
  • 1. Windows-Focused Environment Setup 2018.mp4 (186.4 MB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt (15.7 KB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (43.9 MB)
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)
  • 1. How to Code by Yourself (part 1)-en_US.srt (26.0 KB)
  • 1. How to Code by Yourself (part 1).mp4 (24.5 MB)
  • 2. How to Code by Yourself (part 2)-en_US.srt (15.8 KB)
  • 2. How to Code by Yourself (part 2).mp4 (14.8 MB)
  • 3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt (13.5 KB)
  • 3. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB)
  • 4. Python 2 vs Python 3-en_US.srt (5.9 KB)
  • 4. Python 2 vs Python 3.mp4 (7.8 MB)
13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)
  • 1. How to Succeed in this Course (Long Version)-en_US.srt (14.0 KB)
  • 1. How to Succeed in this Course (Long Version).mp4 (18.3 MB)
  • 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB)
  • 3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt (15.4 KB)
  • 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (29.3 MB)
  • 4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt (22.2 KB)
  • 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (37.6 MB)
14. Appendix FAQ Finale
  • 1. What is the Appendix-en_US.srt (3.6 KB)
  • 1. What is the Appendix.mp4 (5.5 MB)
  • 2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt (7.6 KB)
  • 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 (37.8 MB)
2. Return of the Multi-Armed Bandit
  • 1. Section Introduction The Explore-Exploit Dilemma-en_US.srt (13.0 KB)
  • 1. Section Introduction The Explore-Exploit Dilemma.mp4 (52.0 MB)
  • 10. Optimistic Initial Values Beginner's Exercise Prompt-en_US.srt (2.8 KB)
  • 10. Optimistic Initial Values Beginner's Exercise Prompt.mp4 (13.8 MB)
  • 11. Optimistic Initial Values Code-en_US.srt (5.0 KB)
  • 11. Optimistic Initial Values Code.mp4 (24.6 MB)
  • 12. UCB1 Theory-en_US.srt (19.2 KB)
  • 12. UCB1 Theory.mp4 (55.5 MB)
  • 13. UCB1 Beginner's Exercise Prompt-en_US.srt (2.6 KB)
  • 13. UCB1 Beginner's Exercise Prompt.mp4 (12.7 MB)
  • 14. UCB1 Code-en_US.srt (3.6 KB)
  • 14. UCB1 Code.mp4 (20.7 MB)
  • 15. Bayesian Bandits Thompson Sampling Theory (pt 1)-en_US.srt (16.1 KB)
  • 15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 (55.9 MB)
  • 16. Bayesian Bandits Thompson Sampling Theory (pt 2)-en_US.srt (22.7 KB)
  • 16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 (74.5 MB)
  • 17. Thompson Sampling Beginner's Exercise Prompt-en_US.srt (3.3 KB)
  • 17. Thompson Sampling Beginner's Exercise Prompt.mp4 (17.9 MB)
  • 18. Thompson Sampling Code-en_US.srt (5.4 KB)
  • 18. Thompson Sampling Code.mp4 (32.8 MB)
  • 19. Thompson Sampling With Gaussian Reward Theory-en_US.srt (14.4 KB)
  • 19. Thompson Sampling With Gaussian Reward Theory.mp4 (48.5 MB)
  • 2. Applications of the Explore-Exploit Dilemma-en_US.srt (10.5 KB)
  • 2. Applications of the Explore-Exploit Dilemma.mp4 (51.2 MB)
  • 20. Thompson Sampling With Gaussian Reward Code-en_US.srt (7.0 KB)
  • 20. Thompson Sampling With Gaussian Reward Code.mp4 (43.4 MB)
  • 21. Why don't we just use a library-en_US.srt (7.3 KB)
  • 21. Why don't we just use a library.mp4 (27.4 MB)
  • 22. Nonstationary Bandits-en_US.srt (9.2 KB)
  • 22. Nonstationary Bandits.mp4 (31.0 MB)
  • 23. Bandit Summary, Real Data, and Online Learning-en_US.srt (8.8 KB)
  • 23. Bandit Summary, Real Data, and Online Learning.mp4 (34.6 MB)
  • 24. (Optional) Alternative Bandit Designs-en_US.srt (13.9 KB)
  • 24. (Optional) Alternative Bandit Designs.mp4 (50.3 MB)
  • 25. Suggestion Box-en_US.srt (4.5 KB)
  • 25. Suggestion Box.mp4 (16.1 MB)
  • 3. Epsilon-Greedy Theory-en_US.srt (9.1 KB)
  • Description

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

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

    Created by Lazy Programmer Inc.
    Last updated 6/2021
    English
    English [Auto-generated]


    For More Udemy Courses Visit: https://gigacourse.com



Download torrent
4.1 GB
seeders:11
leechers:11
Udemy - Artificial Intelligence: Reinforcement Learning in Python [Giga Course]


Trackers

tracker name
udp://tracker.tiny-vps.com:6969/announce
udp://fasttracker.foreverpirates.co:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://explodie.org:6969/announce
udp://open.stealth.si:80/announce
udp://tracker.cyberia.is:6969/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.uw0.xyz:6969/announce
udp://tracker.dler.org:6969/announce
udp://9.rarbg.to:2710/announce
udp://wassermann.online:6969/announce
udp://tracker.nrx.me:6969/announce
udp://tracker.zerobytes.xyz:1337/announce
udp://tracker.altrosky.nl:6969/announce
udp://tracker.beeimg.com:6969/announce
µTorrent compatible trackers list

Download torrent
4.1 GB
seeders:11
leechers:11
Udemy - Artificial Intelligence: Reinforcement Learning in Python [Giga Course]


Torrent hash: F6C9C8F8252C94189C7E50D95E6A63A052EA073F