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Building Machine Learning Systems with Python

You're reading from  Building Machine Learning Systems with Python

Product type Book
Published in Jul 2013
Publisher Packt
ISBN-13 9781782161400
Pages 290 pages
Edition 1st Edition
Languages

Table of Contents (20) Chapters

Building Machine Learning Systems with Python
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Python Machine Learning 2. Learning How to Classify with Real-world Examples 3. Clustering – Finding Related Posts 4. Topic Modeling 5. Classification – Detecting Poor Answers 6. Classification II – Sentiment Analysis 7. Regression – Recommendations 8. Regression – Recommendations Improved 9. Classification III – Music Genre Classification 10. Computer Vision – Pattern Recognition 11. Dimensionality Reduction 12. Big(ger) Data Where to Learn More about Machine Learning Index

Using Amazon Web Services (AWS)


When you have a lot of data and a lot of computation, you might start to crave for more computing power. Amazon (aws.amazon.com/) allows you to rent computing power by the hour. Thus, you can access a large amount of computing power without having to precommit by purchasing a large number of machines (including the costs of managing the infrastructure). There are other competitors in this market, but Amazon is the largest player, so we briefly cover it here.

Amazon Web Services (AWS) is a large set of services. We will focus only on the Elastic Compute Cluster (EC2) service. This service offers you virtual machines and disk space, which can be allocated and deallocated quickly.

There are three modes of use: a reserved mode, whereby you prepay to have cheaper per-hour access; a fixed per-hour rate; and a variable rate which depends on the overall compute market (when there is less demand, the costs are lower; when there is more demand, the prices go up).

For...

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