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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

Calculus

Calculus is a mathematical tool which helps the study of how things change. It provides a framework for modeling systems in which there is change, and a way to deduce the predictions of such models.

Differential calculus

At the core of calculus lie derivatives, where the derivative is defined as the instantaneous rate of change of a given function with respect to one of its variables. The study of finding a derivative is known as differentiation. Geometrically, the derivative at a known point is given by the slope of a tangent line to the graph of the function, provided that the derivative exists, and is defined at that point.

Differentiation is the reverse of Integration. Differentiation has several applications; like in physics, the derivative of displacement...

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