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AWS - Machine Learning

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

Mar 24

Building a trash sorter with AWS DeepLens

In this blog post, we show you how to build a prototype trash sorter using AWS DeepLens, the AWS deep learning-enabled video camera designed for developers to learn machine learning in a fun, hands-on way. This prototype trash sorter project teaches you how to train image classification models with custom data. Image classification is a […]

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Apr 02

Deploying machine learning models as serverless APIs

Machine learning (ML) practitioners gather data, design algorithms, run experiments, and evaluate the results. After you create an ML model, you face another problem: serving predictions at scale cost-effectively. Serverless technology empowers you to serve your model predictions without worrying about how to manage the underlying infrastructure. Services like AWS Lambda only charge for the […]

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Apr 02

Reducing player wait time and right sizing compute allocation using Amazon SageMaker RL and Amazon EKS

As a multiplayer game publisher, you may often need to either over-provision resources or manually manage compute allocation when launching or maintaining an online game to avoid long player wait times. You need to develop, configure, and deploy tools that help you monitor and control the compute allocation. This post demonstrates GameServer Autopilot, a new […]

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Mar 31

Autodesk optimizes visual similarity search model in Fusion 360 with Amazon SageMaker Debugger

This post is co-written by Alexander Carlson, a machine learning engineer at Autodesk. Autodesk started its digital transformation journey years ago by moving workloads from private data centers to AWS services. The benefits of digital transformation are clear with generative design, which is a new technology that uses cloud computing to accelerate design exploration beyond […]

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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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