Session: Machine Learning in the Cloud
Are you curious about machine learning (ML) but don't know where to start? ML is a pervasive technology that is relevant to today's IT development, but transitioning your skillset to ML can be challenging. Cloud computing platforms democratize ML and put it in the hands of every developer. Attend this session to learn how to jumpstart your ML journey using Amazon Web Services (AWS). We'll explore machine learning concepts and see first-hand the steps to train and deploy a machine learning model, consume and process data, and generate real-time predictions. You'll walk away understanding ML and the services available to build ML systems.
Kesha Williams is an award-winning software engineer, a machine learning practitioner, and a training architect with 25 years of experience in IT. She enjoys sharing lessons learned through mentoring, teaching, and speaking at technical conferences across the globe. She’s spoken about machine learning on the TED stage as a winner of TED’s Spotlight Presentation Academy. Her pioneering work in the field of artificial intelligence earned her the distinctions of AWS Machine Learning Hero and Alexa Champion from Amazon. In her spare time, she co-organizes the NW Atlanta AWS Meetup and serves as a mentor to women in tech.