AWS Video Catalog

AWS re:Invent 2018: ML Workflows with Amazon SageMaker and AWS Step Functions (API325)

Published on Nov 29, 2018

Learn how you can build, train, and deploy machine learning workflows for Amazon SageMaker on AWS Step Functions. Learn how to stitch together services, such as AWS Glue, with your Amazon SageMaker model training to build feature-rich machine learning applications, and you learn how to build serverless ML workflows with less code. Cox Automotive also shares how it combined Amazon SageMaker and Step Functions to improve collaboration between data scientists and software engineers. We also share some new features to build and manage ML workflows even faster.

AWS re:Invent 2018: ML Workflows with Amazon SageMaker and AWS Step Functions (API325)

2020

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

I'm a Data Scientist - Build NLP Models with Amazon SageMaker (Level 300)

AWS Summit Online ASEAN 2020 | Amazon SageMaker Features to Accelerate Your Machine Learning Journey

Fraud Detection with Amazon SageMaker

Fraud Detection in Financial Transaction Networks with Amazon SageMaker

Deploying TensorFlow Models on AWS Inferentia Based Inf1 Instances with Amazon SageMaker

Deep Demand Forecasting with Amazon SageMaker

Fraud Detection with Amazon SageMaker - Webinar

Fraud Detection in Financial Transaction Networks with Amazon SageMaker - Webinar

Explaining Credit Decisions with Amazon SageMaker - Webinar

Amazon SageMaker

Organize, Track, and Evaluate ML Training Runs With Amazon SageMaker Experiments

Amazon SageMaker Studio - A Fully Integrated Development Environment For Machine Learning

Automatically Build, Train, and Tune ML Models With Amazon SageMaker Autopilot

Secure and compliant machine learning workflows with Amazon SageMaker

Build and Train Machine Learning Models with Amazon Redshift and Amazon SageMaker

Solving with AWS Solutions: Predictive Segmentation using Amazon Pinpoint and Amazon SageMaker

AWS re:Invent 2019 Launchpad | Amazon SageMaker Operators for Kubernetes

Amazon AI Conclave 2019 - Amazon SageMaker: Rapid Model Development

Smaato Reduces Networking Costs by 75% With Amazon SageMaker

Amazon AI Conclave 2019 - Amazon SageMaker: Building and Managing Ml Pipelines at Scale

How Amazon SageMaker Helped NerdWallet Build an Ml Platform

Safer Driving Using Amazon SageMaker and AWS Messaging Services

Formula 1: Using Amazon SageMaker to Deliver Real-Time Insights to Fans (LIVE)