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Haskell Data Analysis Cookbook
Haskell Data Analysis Cookbook
Knygos.lt klubas Knygos.lt nariams
82,38 €
-30%
Įprastai
117,69 €
  • Išsiųsime per 12–18 d.d.
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 an…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 288
  • ISBN-10: 1783286334
  • ISBN-13: 9781783286331
  • Formatas: 19.1 x 23.5 x 1.8 cm, minkšti viršeliai
  • Kalba: Anglų

Haskell Data Analysis Cookbook (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Autorius: Nishant Shukla
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 288
  • ISBN-10: 1783286334
  • ISBN-13: 9781783286331
  • Formatas: 19.1 x 23.5 x 1.8 cm, minkšti viršeliai
  • Kalba: Anglų

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.

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