Clojure Data Analysis Cookbook

Medizin, Wissenschaft & Technik

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In Detail

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.

"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.

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.

Approach

Full of practical tips, the "Clojure Data Analysis Cookbook" will help you fully utilize your data through a series of step-by-step, real world recipes covering every aspect of data analysis.

Who this book is for

Prior experience with Clojure and data analysis techniques and workflows will be beneficial, but not essential.

Über Eric Rochester

Eric Rochester is the senior developer for the R&D section of the Scholars' Lab at the University of Virginia. He has been programming most of his life in a variety of languages and platforms, and lately, he's been interested in exploring data analysis, computational linguistics, and functional programming languages.


Verlag:

Packt Publishing

Veröffentlicht:

2013

Druckseiten:

ca. 321


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