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Effective Amazon Machine Learning

You're reading from  Effective Amazon Machine Learning

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781785883231
Pages 306 pages
Edition 1st Edition
Languages
Author (1):
Alexis Perrier Alexis Perrier
Profile icon Alexis Perrier
Toc

Table of Contents (17) Chapters close

Chapter 3. Overview of an Amazon Machine Learning Workflow

This chapter offers an overview of the workflow of a simple Amazon Machine Learning (Amazon ML) project, which comprises three main phases:

  1. Preparing the data
  2. Training and selecting the model
  3. Making predictions

The reader will learn how to get started on the Amazon Machine Learning platform, how to set up an account, and how to secure it. In the second part, we go through a simple numeric prediction problem based on a classic dataset. We describe each of the three steps mentioned above, what happens, what to expect, and how to interpret the final result.

In this chapter, we will study the following:

  • Opening an Amazon Web Services (AWS) account
  • Setting up the account
  • Overview of a standard Amazon Machine Learning workflow
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