Reinforcement Learning: A beginners guide to multi-arm bandits Part 2

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Over the past few streams, we have talked a lot about the ideas around Reinforcement Learning. Based on the feedback, we decided to do a session for absolute beginners. We will use this approach to build the concepts for Reinforcement Learning using multi arm bandit methods and then go deeper into various algorithms (part 2). We will also cover ideas in contextual bandits (part 3) and end the series with a hands-on azure personalizer (part 4).

This is the part 2 of the session and you can view the previous session here: https://youtu.be/_VvnEu_2i2k?t=275

This is a hands-on session with everyone getting an opportunity to do to do the hands-on while I stream. The best is to subscribe to my channel. All this with live support. The coding will be done in Python and you are welcome to follow along.

I am suggesting to subscribe, so you know exactly which video is going live and you get an alert. With the users on twitch and youtube, there is a way to interact and answer questions in real-time.