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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

Opening an Amazon Web Services Account


Signing up for an AWS account is straightforward. Go to http://aws.amazon.com/, and choose Create a AWS Account. If you don't have an AWS account yet, take advantage of the free tier access. New free-tier accounts enjoy free resources up to a certain limit for up to 12 months. These free resources are available for many AWS services, such as EC2, S3, RDS or Redshift, and so forth. Unfortunately, Amazon Machine Learning is not included in the AWS Free Tier. You will be billed for your Amazon ML usage. However, since Amazon ML requires your data to be stored on S3 or another AWS source such as RedShift, which are included in the Free Tier offer, it will still be advantageous to start with a free tier account. Follow the instructions to open a free tier account. You will be asked for your name, e-mail, address, phone number, and payment information.

Note

If you are already an Amazon retail customer, it will be easier if you separate your AWS account from...

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