I'm a Data Scientist - Automatically Build Models With Amazon Sagemaker (Level 400)

Published on Sep 01, 2020

In this session, you learn how to build high performance models. We first show you how automatic model tuning eliminates the need to manually pick the right training parameters, or hyperparameters, which is a critical step in training high accuracy models. We then discuss Amazon SageMaker Autopilot, a recent capability that automatically creates the best model for your dataset, with data preprocessing, feature engineering, algorithm selection, and model tuning. As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, blogs on the AWS Blog and Medium, and runs an AI/ML podcast.Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in top-tier web startups where he led large Software and Ops teams in charge of thousands of servers worldwide. In the process, he fought his way through a wide range of technical, business and procurement issues, which helped him gain a deep understanding of physical infrastructure, its limitations and how cloud computing can help.Last but not least, Julien holds ten AWS certifications. Learn more about AWS at - https://amzn.to/3aXamuR Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 #AWS #AWSSummit #AWSEvents


2020