Don’t miss the final episode of our machine learning series on Twitch
We can hardly believe it, but this week marks the season finale of our AWS Power Hour: Machine Learning series! I’m sure you’ll agree the time has flown by. We hope you’ve tuned in and had a blast! You can get caught up on the series by viewing the recorded streams, or just jump in with Episode 7 this Thursday, September 3 at 4 p.m. PST on Twitch.
A special thank you
Hosts Jonathan and Kirsten wanted to pass on the following: “We’ve had so much fun over the course of this season. We so appreciate all of our expert guests who have shared their knowledge with all of you, and us! Most of all, thank you so much to you—our awesome community, who have tuned in, participated in the chat, and kept us on our toes with your questions and comments. We absolutely love chatting with you during the show, and can’t thank you enough for your participation!”
What’s in store for the final episode?
Our hosts will welcome James Jory, Senior AI Services Solutions Architect. James will walk us through Amazon Personalize, which enables you to improve customer engagement and conversion by powering real-time personalized product and content recommendations, and targeted marketing promotions. Amazon Personalize is based on over 20 years of recommendation experience and research in machine learning at Amazon. We’ll walk through a demo using a mock retail store in order to understand how developers can use Amazon Personalize to create individualized recommendations for their users. As always, we’ll end the episode with resources to help you get hands on with the service.
What is AWS Power Hour: Machine Learning?
AWS Power Hour: Machine Learning is a weekly, live-streamed program that airs at 4 p.m. PST every Thursday for seven weeks. Each show features the AWS hosts and a special guest as they demonstrate how to build apps with AI Services from AWS. Designed for developers without prior ML experience, the show helps you learn to build apps that showcase natural language, speech recognition, and other personalized recommendations. The show provides in-depth technical education in a fun and interactive environment.