Making reinforcement learning practical for real-world developers (sponsored by AWS)
Building machine learning-enabled products is hard for developers and data scientists; throw in a hardware component and the complexity increase exponentially.
Lyndon Leggate introduces you to reinforcement learning and walks you through a step-by-step demonstration of how you developer can up level your RL skills through autonomous driving.
This session is sponsored by AWS.
What you'll learn
- Learn how to up level your skills though autonomous driving
Lyndon Leggate is the founder and chief technology officer at Deep, a data science and machine learning consultancy that assists a variety of clients with technology strategy and data solutions, a senior technology leader with extensive defining and delivering complex technical solutions on large, business critical projects for consumer facing brands, and a Machine Learning AWS Hero. He’s a founder of Nino City, an early stage ed tech startup trying to help parents make children’s screen time more productive (implemented as a 100% serverless solution on AWS). Alongside his day job, Lyndon is a keen participant in the AWS DeepRacer league. Racing as Etaggel, he’s regularly positioned in the top 10, is featured in DeepRacer TV, and in May 2019, established the AWS DeepRacer Community. This vibrant and rapidly growing community provides a space for new and experienced racers to seek advice and share tips. The community has gone on to expand the DeepRacer tool sets, making the platform more accessible and pushing the bounds of the technology. He also organizes the AWS DeepRacer London Meetup series.
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