Amazon Machine Learning - An… by Dan Moore [PDF/iPad/Kindle]
Amazon Machine Learning - An Introduction
Amazon Machine Learning - An Introduction
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Amazon Machine Learning - An Introduction

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Last updated on 2017-05-26

About the Book

Would you like to perform machine learning without setting up any infrastructure? Amazon Machine Learning (AML) lets you do supervised learning against datasets in S3, RDS and Redshift and build models that can be accessed via realtime or batch predictions. In this book I'll cover how to get your data up to Amazon, how to build your model and how to use your model. We'll also cover areas where AML might not be a good fit, and how to access your model via the API.

About the Author

Dan Moore
Dan Moore

Dan Moore has been developing for the web since 1997, using all manner of (unixish) technologies, from perl to java to php to javascript to Cordova.

Recently he's been working more with the AWS technology stack, and is currently an instructor for AWS training programs.

Dan currently works for The Food Corridor and Quicloud.

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