Amazon SageMaker

Amazon SageMaker: ML IDE

29/May/2020

Amazon SageMaker

Amazon SageMaker

Mocagon: Data-Execution area, Internet scope [AWS Poster]
Full-name: Amazon SageMaker
Short-name: Amazon SageMaker
Provides: ML IDE
Resource: notebook-instance
Year: 2017

Region	Country	Store
Americas	US	Buy poster ($ USD)
Europe	UK	Buy poster (£ GBP)

Prefix	Name	Description	Year
	Alexa for Business (A4B)	digital assistant	2017
Amazon	Augmented AI (A2I)	human review of ML predictions	2019
Amazon	Comprehend	Text understanding	2017
AWS	DeepComposer	ML musical keyboard	2019
AWS	DeepLens	ML camera	2017
AWS	DeepRacer	ML r/c car	2018
Amazon	Forecast	Time-series forecasting	2017
Amazon	Fraud Detector	fraud detection	2019
Amazon	Lex	Speech understanding	2016
Amazon	Personalize	recommendations	2018
Amazon	Polly	Text to speech	2016
Amazon	Rekognition	image/video understanding	2016
Amazon	SageMaker	ML IDE	2017
Amazon	Textract	image to text	2018
Amazon	Transcribe	speech to text	2017
Amazon	Translate	text translation	2017

News

2020/05/26: Amazon QuickSight launches integration with Amazon SageMaker and more
2020/04/29: Announcing General Availability of Amazon SageMaker Notebooks and expansion of Amazon SageMaker Studio to additional AWS regions
2020/04/22: Amazon SageMaker now supports Inf1 instances providing high performance and cost-effective machine learning inference
2020/04/17: Amazon SageMaker now supports ml.g4dn and ml.c5n instances for ML model training
2020/03/09: Amazon SageMaker Ground Truth Now Supports Multi-Label Image and Text Classification and Amazon CloudWatch Events
2020/01/23: Deep Learning Containers Updates for SageMaker Debugger and Tensorflow Serving
2020/01/21: Amazon SageMaker Now Supports TensorFlow 2.0
2019/12/12: Amazon SageMaker Ground Truth Adds Auto-Segment Feature for Semantic Segmentation Labeling
2019/12/03: Amazon SageMaker Adds Processing, a Managed Solution to Run Data Processing and Model Evaluation Workloads
2019/12/03: Introducing Amazon SageMaker Autopilot
2019/12/03: Introducing Amazon SageMaker Debugger – Get complete insights into the training process of machine learning models
2019/12/03: Organize, track, and compare your machine learning training experiments with Amazon SageMaker Experiments
2019/12/03: Introducing Amazon SageMaker Model Monitor – Maintain quality of ML models
2019/12/03: Introducing Amazon SageMaker Studio – the first integrated development environment (IDE) for machine learning
2019/12/03: Introducing Amazon SageMaker Support for Deep Graph Library (DGL): Build and Train Graph Neural Networks
2019/12/03: Introducing the new Amazon SageMaker Notebook Experience – Now in Preview
2019/12/01: Introducing Amazon SageMaker Operators for Kubernetes
2019/11/26: Add ML predictions using Amazon SageMaker models in Amazon QuickSight
2019/11/19: Amazon SageMaker Ground Truth Now Supports More Refined Access Control
2019/11/07: Introducing the AWS Step Functions Data Science SDK for Amazon SageMaker
2019/11/04: New version of SageMaker XGBoost algorithm available
2019/10/28: SageMaker Region expansion to Bahrain
2019/10/25: Amazon SageMaker Neo is now Available in Middle East - Bahrain
2019/10/22: New Classroom Course: Practical Data Science with Amazon SageMaker
2019/10/10: Amazon SageMaker Ground Truth Adds Built-in Workflows for the Verification and Adjustment of Data Labels
2019/10/08: SageMaker Notebooks now support diffing
2019/10/04: Introducing Amazon SageMaker ml.p3dn.24xlarge instances, optimized for distributed machine learning with up to 4x the network bandwidth of ml.p3.16xlarge instances
2019/10/03: AWS Step Functions expands Amazon SageMaker service integration
2019/10/01: Amazon SageMaker Now Supports G4 and R5 instances for Real-Time Inference
2019/09/26: Amazon SageMaker Neo is now Available in 12 additional Regions