In this session you’ll learn how to build your first bonsai brain and cover the various components of the bonsai platform and how the concepts of Machine teaching and deep reinforcement learning come together to simplify the design, training, and deployment of intelligent agents for autonomous systems.

This is an introductory session aimed at Engineers, Developers, and anyone interested in AI & Autonomous systems

Resources:
Previous session - intro to Bonsai Brain: https://www.youtube.com/watch?v=usFJUraJJ0E
https://aka.ms/BonsaiLDN_moab & https://aka.ms/BonsaiLDN_simcity
Learn more about bonsai with customer stories: https://aka.ms/BonsaiLDN_customerstories
Take a course to learn more: https://aka.ms/BonsaiLDN_Coursera & https://aka.ms/BonsaiLDN_LearningDocs
Sign up to follow along or be contacted: https://aka.ms/BonsaiLDN_signup

Speaker:
John Alexander (Replacing Josh Ndemenge)
John is a Sr. Machine Teaching Advocate on the Microsoft Autonomous Systems team. John has a passion for designing and building accessible experiences using machine learning coupled with vision, voice, touch, and virtual/mixed reality.
He speaks regularly at conferences and is the co-founder of Kansas City .NET Meetup and KC Windows Mixed Reality meetup (now part of KCVR). Based in Kansas City, Missouri USA, John loves to paint, draw, game, do voiceovers, and spend time with his spouse and three children on all sorts of adventures.