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Scala Data Analysis Cookbook (new)

You're reading from Scala Data Analysis Cookbook (new) Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes

Product type Paperback

Published in Oct 2015

Publisher

ISBN-13 9781784396749

Length 254 pages

Edition 1st Edition

Languages

Scala

Tools

Apache Spark

Concepts

Data Analysis

Author (1):

Arun Manivannan

View More author details

Table of Contents (9) Chapters

Preface

1. Getting Started with Breeze

2. Getting Started with Apache Spark DataFrames FREE CHAPTER

3. Loading and Preparing Data – DataFrame

4. Data Visualization

5. Learning from Data

6. Scaling Up

7. Going Further

Index

Introduction

This chapter gives you a quick overview of one of the most popular data analysis libraries in Scala, how to get them, and their most frequently used functions and data structures.

We will be focusing on Breeze in this first chapter, which is one of the most popular and powerful linear algebra libraries. Spark MLlib, which we will be seeing in the subsequent chapters, builds on top of Breeze and Spark, and provides a powerful framework for scalable machine learning.

The rest of the chapter is locked

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Authors (1)

Manivannan

Manivannan

Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.

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