AWS AMER Summit May 2021 | Build, train, and deploy ML models using Amazon SageMaker

Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker offers tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, training, tuning, monitoring, and workflows. In this presentation, learn how these features work together and how to get started quickly with SageMaker.


Subscribe:

ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

#AWS #AmazonWebServices #CloudComputing #AWSEvents #AWSSummit