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📁

Haskell Data Analysis Cookbook

✍ Scribed by Nishant Shukla

Publisher: Packt Publishing
Year: 2014
Tongue: English
Leaves: 288
Category: Library

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No coin nor oath required. For personal study only.

✦ Synopsis

Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes.

This book will take you on a voyage through all the steps involved in data analysis. It provides synergy between Haskell and data modeling, consisting of carefully chosen examples featuring some of the most popular machine learning techniques.

You will begin with how to obtain and clean data from various sources. You will then learn how to use various data structures such as trees and graphs. The meat of data analysis occurs in the topics involving statistical techniques, parallelism, concurrency, and machine learning algorithms, along with various examples of visualizing and exporting results. By the end of the book, you will be empowered with techniques to maximize your potential when using Haskell for data analysis.

✦ Subjects

functional programming, data science

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<b>Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes</b><h2>About This Book</h2><ul> <li>A practical and concise guide to using Haskell when getting to grips with data analysis</li> <li>Recipes for every stage of data analysis, from c