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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

Apache Spark - Machine Learning on Big Data

So far in this book we've talked about a lot of general data mining and machine learning techniques that you can use in your data science career, but they've all been running on your desktop. As such, you can only run as much data as a single machine can process using technologies such as Python and scikit-learn.

Now, everyone talks about big data, and odds are you might be working for a company that does in fact have big data to process. Big data meaning that you can't actually control it all, you can't actually wrangle it all on just one system. You need to actually compute it using the resources of an entire cloud, a cluster of computing resources. And that's where Apache Spark comes in. Apache Spark is a very powerful tool for managing big data, and doing machine learning on large Datasets. By the end of...

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