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Effective Amazon Machine Learning

You're reading from   Effective Amazon Machine Learning Expert web services for machine learning on cloud

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785883231
Length 306 pages
Edition 1st Edition
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Author (1):
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Alexis Perrier Alexis Perrier
Author Profile Icon Alexis Perrier
Alexis Perrier
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Machine Learning and Predictive Analytics FREE CHAPTER 2. Machine Learning Definitions and Concepts 3. Overview of an Amazon Machine Learning Workflow 4. Loading and Preparing the Dataset 5. Model Creation 6. Predictions and Performances 7. Command Line and SDK 8. Creating Datasources from Redshift 9. Building a Streaming Data Analysis Pipeline

Setting up the account

When you set up your account for the first time, you are given access to your root public and secret access keys. These keys will be useful as you manage data on S3 and models in Amazon ML via the command line interface (AWS CLI). These two keys will only be available for you to view and copy at the time of creation. Once that page in your browser is closed, you can no longer access them and will need to create new ones. Creating new root keys is done by accessing My Account | Security Credentials. It's worth noting that no one can have access to your keys in AWS, not even the administrator of your account.

We won't go through all the possible actions you can take in IAM to configure, manage, and secure access to your account as a full presentation of IAM is beyond the scope of this book. Your access management needs and policies will depend on the size of your organization and security...

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