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Scala Data Analysis Cookbook

You're reading from  Scala Data Analysis Cookbook

Product type Book
Published in Oct 2015
Publisher
ISBN-13 9781784396749
Pages 254 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Arun Manivannan Arun Manivannan
Profile icon Arun Manivannan
LinkedIn
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.
See other products by Arun Manivannan

Table of Contents (14) Chapters

Scala Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Breeze 2. Getting Started with Apache Spark DataFrames 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.

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Scala Data Analysis Cookbook
Published in: Oct 2015 Publisher: ISBN-13: 9781784396749
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Authors (1)

Profile icon Arun Manivannan
LinkedIn
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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See other products by Arun Manivannan

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