Hello my friends,


If you want the full explanation of this same practical activity in a book, then my “AI Crash Course” book might be helpful to you. It contains all the theory of Thompson Sampling including the math explained in details, plus the whole same case study where each line of code is explained step by step. And of course if you like Reinforcement Learning and want to study it in more depth, you will find in this same book some other Reinforcement Learning models such as Q-Learning, Deep Learning, Deep Q-Learning, Convolutional Neural Networks and Deep Convolutional Q-Learning.


Check it out below if you feel this can help:


Amazon US:

https://www.amazon.com/Crash-Course-hands-introduction-reinforcement-ebook/dp/B07Z9DC228/ref=sr_1_1?dchild=1&keywords=ai+crash+course&qid=1590262315&sr=8-1


Amazon India:

https://www.amazon.in/Crash-Course-hands-introduction-reinforcement-ebook/dp/B07Z9DC228/ref=sr_1_1?crid=SS1WPKHH8BPT&dchild=1&keywords=ai+crash+course&qid=1590262359&sprefix=ai+cra%2Caps%2C252&sr=8-1


Amazon UK:

https://www.amazon.co.uk/Crash-Course-hands-introduction-reinforcement/dp/1838645357/ref=sr_1_1?crid=15GHY1LCITNU8&dchild=1&keywords=ai+crash+course&qid=1590262469&sprefix=ai+crash+%2Caps%2C259&sr=8-1


Hope this can help!


Hadelin