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AWS - Machine Learning

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

Aug 13

Expanding scientific portfolios and adapting to a changing world with Amazon Personalize

This is a guest blog post by David A. Smith at Thermo Fisher. In their own words, “Thermo Fisher Scientific is the world leader in serving science. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving […]

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Sep 25

Active learning workflow for Amazon Comprehend custom classification models – Part 1

Amazon Comprehend  Custom Classification API enables you to easily build custom text classification models using your business-specific labels without learning ML. For example, your customer support organization can use Custom Classification to automatically categorize inbound requests by problem type based on how the customer has described the issue.  You can use custom classifiers to automatically label […]

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Sep 25

Data visualization and anomaly detection using Amazon Athena and Pandas from Amazon SageMaker

Many organizations use Amazon SageMaker for their machine learning (ML) requirements and source data from a data lake stored on Amazon Simple Storage Service (Amazon S3). The petabyte scale source data on Amazon S3 may not always be clean because data lakes ingest data from several source systems, such as like flat files, external feeds, […]

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Sep 25

Football tracking in the NFL with Amazon SageMaker

With the 2020 football season kicking off, Amazon Web Services (AWS) is continuing its work with the National Football League (NFL) on several ongoing game-changing initiatives. Specifically, the NFL and AWS are teaming up to develop state-of-the-art cloud technology using machine learning (ML) aimed at aiding the officiating process through real-time football detection. As a […]

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Products and Case Studies
AWS - Machine Learning - Amazon SageMaker

Machine learning for every developer and data scientist.

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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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 : Zendesk Enables Faster Customer Service Using Deep Learning

Speeding Development through Faster Deep-Learning Modeling

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