#297: Reinforcement Learning with AWS DeepRacer

What this episode covers

How are ML Models Trained? How can developers learn different approaches to solving business problems? How can we race model cars on a global scale? Todd Escalona (Solutions Architect Evangelist, AWS) joins Simon to dive into reinforcement learning and AWS DeepRacer! AWS DeepRacer: https://aws.amazon.com/deepracer/ Open Source DIY Donkey Car: http://www.donkeycar.com/ re:Invent 2017 Robocar Hackathon - https://aws.amazon.com/blogs/machine-learning/build-an-autonomous-vehicle-on-aws-and-race-it-at-the-reinvent-robocar-rally/ AWS DeepRacer Highlights: https://www.youtube.com/watch?v=jD0Z9D9Y0Sc

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How long is this episode of AWS Podcast?

This episode is 28 minutes long.

When was this AWS Podcast episode published?

This episode was published on February 10, 2019.

What is this episode about?

How are ML Models Trained? How can developers learn different approaches to solving business problems? How can we race model cars on a global scale? Todd Escalona (Solutions Architect Evangelist, AWS) joins Simon to dive into reinforcement learning...

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