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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation 2. Transformations and Actions with Spark RDDs FREE CHAPTER 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction Theres More with Spark

What is machine learning?


Machine learning is a branch of AI that gives computers the ability to learn new patterns with little to no human intervention. The machine learning models learn from previous computations to produce more accurate results as more data is crunched. A very simple example is Facebook's face detection algorithm, which uses machine learning techniques to identify the people in the pictures, and gets refined over time. Machine learning has its roots in computation statistics and has been referred to as data mining, although data mining focuses more on the unsupervised learning part of machine learning. To some people machine learning is still science fiction; however, it is now being used in everyday life from predicting fraud, to recommending new products and services to customers, and predicting when your car needs a service.

Is machine learning a new phenomenon? Almost 75 years ago in the Bulletin of Mathematical Biophysics, Warren S. Mculloch (http://bit.ly/2eSkb1q...

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