Book Image

Clojure Data Analysis Cookbook

By : Eric Rochester
Book Image

Clojure Data Analysis Cookbook

By: Eric Rochester

Overview of this book

<p>Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.<br /><br />"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.<br /><br />You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.</p>
Table of Contents (18 chapters)
Clojure Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


If concurrent processing is a way of structuring our programs that has performance implications, parallel processing is a way of getting better performance that has implications in how we structure our programs. Although often conflated, concurrent processing and parallel processing are really different solutions to different problems. Concurrency is good for expressing programs that involve different tasks that can be, or must be, carried on at the same time. Parallelization is good for doing the same task many, many times, all at once.

It used to be that the easiest, and often best, strategy for improving performance was to go on vacation. Moore's law implies that processor speed would double approximately every 18 months, so in the 1990s, we could go on vacation, return, buy a new computer, and our programs were faster. It was magic.

Today, we're no longer under Moore's law, however. Instead, as the saying goes, "the free lunch is over." Now, processor speeds have plateaued...