GOTO Book Club: How to Leverage Reinforcement Learning


In this episode of GOTO’s book club I speak to Rebecca Nugent, Feinberg professor of statistics and data science at Carnegie Mellon univeristy. We talk, at length, about the application of reinforcment learning, specifically how it could be a way of creating truly personalised teaching curricula. It’s a really interesting discussion and it’s great to get someone of Rebecca’s calibre to bounce ideas off.

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A Code-Driven Introduction to Reinforcement Learning

In this presentation I present a code-driven introduction to RL, where you will explore a fundamental framework called the Markov decision process (MDP) and learn how to build an RL algorithm to solve it.

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How We Work With Cloud-Native Data Science: An Interview With Phil Winder

As a business, how should you embark on a data science project? Should you be using cloud-native technologies? In this interview, Phil Winder discusses how he operates with other businesses to build businesses of the future.

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