Book Image

Machine Learning with Spark. - Second Edition

By : Rajdeep Dua, Manpreet Singh Ghotra
Book Image

Machine Learning with Spark. - Second Edition

By: Rajdeep Dua, Manpreet Singh Ghotra

Overview of this book

This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. By the end of this book, you will acquire the skills to leverage Spark's features to create your own scalable machine learning applications and power a modern data-driven business.
Table of Contents (13 chapters)

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...