Build, Train, and Deploy Machine Learning Models using Amazon SageMaker | Amazon Web Services

preview_player
Показать описание
Amazon SageMaker is a machine learning (ML) service that provides purpose-built tools and optimized infrastructure to build, train, and deploy ML models for virtually any use case, regardless of your ML expertise. In this video, get an overview of Amazon SageMaker capabilities.

Subscribe:

ABOUT AWS
Amazon Web Services (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.

#AmazonSageMaker #AWS #AmazonWebServices #CloudComputing
Рекомендации по теме
Комментарии
Автор

This video contains zero facts. But it is visually appealing with the sound off. Good job 🥉

Malephex
Автор

Hey, can you help me with something? after deploying my model when I am about to test my model it says "CancelledError: Session has been closed."

mdh