Jump or Not to Jump: Solving Flappy Bird with Deep Reinforcement Learning w/ Kaleo Ha’o

The holy grail of machine learning has always been a “Skynet” type of artificial intelligence that could generally learn anything (artificial general intelligence), and the biggest advancement toward achieving such A.I. is deep reinforcement learning (DRL). The reason for this is DRL’s ability to solve a vast array of problems; its application ranges from learning... Continue reading →

Eliminating Machine Bias w/ Mary Ann Brennan & Getting from Machine Learning Outputs to Decisions… timely things!

Meet Mary Ann Brennan (@mabmierau) presenting… Eliminating Machine Bias Mary Ann is a jack-of-all-trades software engineer with background in iOS and full-stack web at a bunch of startups you’ve probably never heard of. She’s currently using her extended maternity leave to refresh her studies in Artificial Intelligence, the concentration for her master’s in Computer Science... Continue reading →

Now, Kirsten Westeinde & Rich Jolly

Using Your Data to Give Your Customers Superpowers Kirsten Westeinde (@kmkwesteinde) is a technology enthusiast and a lifelong learner. Currently a senior software engineer at Shopify, where she solves challenging web development problems on the daily. She’s toiled and built apps and services with Ruby on Rails for greater than 5 years and is constantly... Continue reading →

Say Hello to Jon and Amy @ML4ALL!

Welcome the next two speakers I’m introducing: Jon Oropeza and Amy Cheng! ML Spends A Year In Burgundy Jon (@joropeza) is coming to Portland from Portland to speak to us about Cote d’Or in Burgundy! He’s a hacker, grape lover, and Portlander that loves a good smooth wine made out of those grapes he loves!... Continue reading →