October 2015
Beginner to intermediate
254 pages
5h 31m
English
Content preview from Scala Data Analysis Cookbook (new)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1. Getting Started with Breeze
In this chapter, we will cover the following recipes:
- Getting Breeze—the linear algebra library
- Working with vectors
- Working with matrices
- Vectors and matrices with randomly distributed values
- Reading and writing CSV files
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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.