AWS machine learning

Machine learning provides the foundation for many Amazon AI technologies, including SageMaker and DeepLens. Here's how you can use AWS machine learning technology to help your enterprise enable analysis and predictions for a variety of use cases.

December 08, 2020 08 Dec'20
Amazon SageMaker Clarify aims to mitigate bias in machine learning

AWS looks to tackle machine learning bias with a new a new tool that works with Amazon SageMaker products to help developers and users better detect and eliminate AI bias.
December 30, 2019 30 Dec'19
AWS AI tools focus on developers

AWS sells many AI products, tools and services aimed at developers, including several for AI newcomers, such as DeepRacer, DeepLens and DeepComposer.
December 16, 2019 16 Dec'19
Amazon's growth strategy could target 5 key markets

Amazon could move well beyond its core e-commerce and cloud services businesses in pursuit of growth, targeting markets such as publishing, health care and travel.
December 03, 2019 03 Dec'19
SageMaker Studio makes model building, monitoring easier

New SageMaker tools from AWS to open up machine learning models by making it easier for non-expert developers make, run, monitor and debug machine learning models.

Bring yourself up to speed with our introductory content

Amazon SageMaker

Amazon SageMaker is a managed service in the Amazon Web Services (AWS) public cloud. Continue Reading
Set up a Jupyter notebook on AWS with this tutorial

AWS machine learning capabilities relies on the Jupyter Notebook tool. Follow this video tutorial to learn how to set up a Jupyter notebook on Amazon EMR. Continue Reading
Set up a data lake on AWS with Lake Formation

Modern businesses must organize an unprecedent amount of information. Find out how AWS Lake Formation can help your business manage and analyze high volumes of data. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Review latest investments to AWS' machine learning platform

Improved deep learning capabilities lead this machine learning roundup. Learn how AWS is targeting both machine-learning-savvy developers and data scientists. Continue Reading
More to machine learning platforms than meets the AI

To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly. Continue Reading
Future of AWS hinges on AI, Lambda and on premises

SearchAWS contributors say AWS' future will continue to focus on AI and machine learning as the cloud provider attempts to stay ahead of the curve. Continue Reading

Learn to apply best practices and optimize your operations.

Discover practical applications of machine learning on AWS

Many organizations still don't know how to get value out of AI, but industries ranging from finance to manufacturing have found practical applications for Amazon SageMaker. Continue Reading
Try this data science experiment for deep learning insights

Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading