We had another amazingly successful Scala in the City and it's thanks to all of you for your support!
It was awesome to get the chance to see inside the stunning Intuit offices and meet the engineering team, thank you to Intuit Engineer Manager and Lead Engineer Juan José Coello for telling us a bit more about the Intuit story.
Our speakers, Cristian Arcaroli, Daniel Ciocîrlan and Chris Birchall were incredible and we were very lucky they gave up their evenings to give us their Scala insights, thanks guys.
If you missed out on last night's Scala in the City then don't worry as we will have the videos with you very soon.
In the meantime, check out the slides from each of the talks.
Stay posted for the announcement of April Scala in the City, it's one you won't want to miss!
Cristian Arcaroli - Modern Fullstack in Scala
This talk is a journey through Fullstack development using Scala with modern technologies like React, Apollo Client, and GraphQL.
Daniel Ciocîrlan - Type-Level Sorting in Scala
Chris Birchall - Reinforcement Learning in Scala
During this talk you will find out what RL is all about and how to implement it in Scala. Chris will introduce RL, providing use cases and intuition about what kind of problems it can solve. He'll also share some of its core concepts, including Markov Decision Processes, policies and action values, prediction and control, exploitation vs exploration and bootstrapping.
Next we'll implement some of these concepts in Scala, starting from scratch and working step by step towards an implementation of 'Q-learning' – a popular RL technique for learning policies. We'll structure our code using type classes to separate the generic Q-learning framework from the specifics of any particular problem we want to model.
You will also learn how to train an agent using your Q-learning implementation, and finally Chris will demonstrate the result of the training: the computer successfully playing a simple game.