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Hands-On Data Science and Python Machine Learning

You're reading from   Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Statistics and Probability Refresher, and Python Practice 3. Matplotlib and Advanced Probability Concepts 4. Predictive Models 5. Machine Learning with Python 6. Recommender Systems 7. More Data Mining and Machine Learning Techniques 8. Dealing with Real-World Data 9. Apache Spark - Machine Learning on Big Data 10. Testing and Experimental Design

What are recommender systems?

Well, like I said Amazon is a great example, and one I'm very familiar with. So, if you go to their recommendations section, as shown in the following image, you can see that it will recommend things that you might be interested in purchasing based on your past behavior on the site.

The recommender system might include things that you've rated, or things that you bought, and other data as well. I can't go into the details because they'll hunt me down, and you know, do bad things to me. But, it's pretty cool. You can also think of the people who bought this also bought feature on Amazon as a form of recommender system.

The difference is that the recommendations you're seeing on your Amazon recommendations page are based on all of your past behavior, whereas people who bought this also bought or people who viewed this...

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