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AWS machine learning News
December 08, 2020
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
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
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
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.
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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
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
Watch this Amazon SageMaker demo on how to deploy machine learning models on AWS. From setting up IAM roles to sorting your data, this tutorial will guide you through the process. Continue Reading
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Improved deep learning capabilities lead this machine learning roundup. Learn how AWS is targeting both machine-learning-savvy developers and data scientists. Continue Reading
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
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
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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
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