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AWS - Machine Learning

  • Machine Learning
  • 1 Product
  • 3 Case Studies
Putting machine learning in the hands of every developer
About

AWS has the broadest and deepest set of machine learning and AI services for your business.

On behalf of our customers, we are focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer.

You can choose from pre-trained AI services for computer vision, language, recommendations, and forecasting; Amazon SageMaker to quickly build, train and deploy machine learning models at scale; or build custom models with support for all the popular open-source frameworks.

Our capabilities are built on the most comprehensive cloud platform, optimized for machine learning with high-performance compute, and no compromises on security and analytics.

Company Details
  • https://aws.amazon.com/machine-learning/
  • Headquarters Seattle, WA
  • Year Founded 2006
  • Company Size 10,001+ employees
  • Specialties Technology & Internet, Machine Learning, Machine Translation, Computer Vision, Data Science, Hardware & IoT, Deep Learning, Natural Language Processing, Data Resources & Management , Speech Processing, Bot Builders, Sentiment Analysis
Products and Case Studies
Amazon SageMaker

Machine learning for every developer and data scientist.

Case Study : Zendesk Enables Faster Customer Service Using Deep Learning

Speeding Development through Faster Deep-Learning Modeling

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Case Study : Formula 1 - Aws Fuels Analytics Through Machine Learning

Formula 1 Accelerates Cloud Transformation by Moving to AWS

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Case Study : Zocdoc Builds Patient Confidence Using Tensorflow

Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.

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