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Machine Learning with Spark

You're reading from   Machine Learning with Spark Develop intelligent, distributed machine learning systems

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889936
Length 532 pages
Edition 2nd Edition
Languages
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Authors (2):
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Manpreet Singh Ghotra Manpreet Singh Ghotra
Author Profile Icon Manpreet Singh Ghotra
Manpreet Singh Ghotra
Rajdeep Dua Rajdeep Dua
Author Profile Icon Rajdeep Dua
Rajdeep Dua
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Up and Running with Spark FREE CHAPTER 2. Math for Machine Learning 3. Designing a Machine Learning System 4. Obtaining, Processing, and Preparing Data with Spark 5. Building a Recommendation Engine with Spark 6. Building a Classification Model with Spark 7. Building a Regression Model with Spark 8. Building a Clustering Model with Spark 9. Dimensionality Reduction with Spark 10. Advanced Text Processing with Spark 11. Real-Time Machine Learning with Spark Streaming 12. Pipeline APIs for Spark ML

What is Machine Learning?

Machine learning is a subfield of data mining. While data mining has been around for more than 50+ years, machine learning is a subset where a large cluster of machines is used to analyze and extract knowledge from large datasets.

Machine learning is closely related to computational statistics. It has strong ties to mathematical optimization; it provides methods, theory, and application domains to the field. Machine learning is employed in various types of computing tasks where designing and programming explicit algorithms are infeasible. Example applications are spam filtering, optical character recognition (OCR), search engine, and computer vision. Machine learning is sometimes combined with data mining, which focuses more on exploratory data analysis and is known as unsupervised learning.

Machine learning systems can be classified into three categories, depending on the nature of the...

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