Haskell Data Analysis Cookbook

Nishant Shukla

ISBN 10: 1783286334 / ISBN 13: 9781783286331

Published by Packt Publishing, 2014

About this Item

Haskell Data Analysis Cookbook | Nishant Shukla | Taschenbuch | Englisch | 2014 | Packt Publishing | EAN 9781783286331 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 105231284

Bibliographic Details

• Title: Haskell Data Analysis Cookbook
• Publisher: Packt Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 1783286334
• ISBN 13: 9781783286331
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 19D millimeters 235 millimeters width by 191 millimeters height by 19 millimeters depth
• Weight: 625 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.

About the Author

Nishant Shukla

Nishant Shukla is a computer scientist with a passion for mathematics. Throughout the years, he has worked for a handful of start-ups and large corporations including WillowTree Apps, Microsoft, Facebook, and Foursquare. Stepping into the world of Haskell was his excuse for better understanding Category Theory at first, but eventually, he found himself immersed in the language. His semester-long introductory Haskell course in the engineering school at the University of Virginia (http://shuklan.com/haskell) has been accessed by individuals from over 154 countries around the world, gathering over 45,000 unique visitors. Besides Haskell, he is a proponent of decentralized Internet and open source software. His academic research in the fields of Machine Learning, Neural Networks, and Computer Vision aim to supply a fundamental contribution to the world of computing.