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AWS - Machine Learning

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

Nov 20

Getting started with Amazon Kendra ServiceNow Online connector

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). To make it simple to search data across multiple content repositories, Amazon Kendra offers a number of native data source connectors to help get your documents easily ingested and indexed. This post describes how you can use the Amazon […]

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Nov 27

Creating Amazon SageMaker Studio domains and user profiles using AWS CloudFormation

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, tune, debug, deploy, and monitor models. In this post, we demonstrate how you can create a SageMaker Studio domain and user […]

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Nov 27

Creating Amazon SageMaker Studio domains and user profiles using AWS CloudFormation

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, tune, debug, deploy, and monitor models. In this post, we demonstrate how you can create a SageMaker Studio domain and user […]

Read full article >

Nov 27

Creating Amazon SageMaker Studio domains and user profiles using AWS CloudFormation

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, tune, debug, deploy, and monitor models. In this post, we demonstrate how you can create a SageMaker Studio domain and user […]

Read full article >

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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Model-Based and Model-Free Reinforcement Learning – Pytennis Case Study

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