Teach your PacMan to play with ML and ReactiveStreams
17:20/18:00
Today the adoption of Machine Learning is enormous. We use it almost everywhere: on clusters, on our phones, on hand watches and even on the teapots. But, who knows how challenging could be the development of the continuously improved (or even real-time) machine learning. Servers' capacity, stability, performance, along with a proper ML algorithm selection and many other properties must be taken into account. In this presentation, we will be demonstrating bots education for multiplayer Pacman game. We will show how elegant could be the development of such a problem with Kafka, Akka, RSocket an
Language: English
Level: Intermediate
Oleh Dokuka
Developers Advocate / Principal Software Engineer - Netifi, inc
Mainly Java Software Engineer / Consultant focused on distributed systems development adopting ReactiveManifesto and ReactiveProgramming techniques. Opensource geek, the active contributor of ProjectReactor. Along with that, Public speaker and Author of the book "Reactive Programming is Spring 5.0":https://www.packtpub.com/application-development/reactive-programming-spring-50
Mary Grygleski
Developer Advocate - IBM
Mary is currently a Java Developer Advocate at IBM, specializing in Reactive Java systems. She started working as a software engineer with C and Unix, then got into Java, Open Source, and web development in the new Millennium, and now she is venturing into Reactive, Mobile, and the DevOps space. In her previous incarnations, she worked for several technology product companies in the Route 128 Boston Technology Corridor as well the San Francisco Bay Area. She now resides in the Greater Chicago area, and is an Executive Board member and the Director of Meetings for the Chicago Java Users Group.
