Haskell Data Analysis Cookbook - Tapa blanda

Nishant Shukla

 
9781783286331: Haskell Data Analysis Cookbook

Sinopsis

Designed by a committee of more than a dozen brilliant researchers, Haskell is one of the fastest growing languages in terms of both usage and popularity. A powerful functional programming language with a strong type system and parallelism support, Haskell is just the tool for harnessing the patterns behind the corpus of data.

The Haskell Data Analysis Cookbook provides recipes covering every stage of the data analysis process. Whether obtaining and cleaning data, performing real-time analysis, or finding the best forms of visualization the book provides focused and practical advice on using Haskell as the best tool for the job.

Topics covered include reading and accessing data from a variety of file formats, cleaning the data for analysis, constructing tree data structures, clustering, and graphing and visualizing the products of your analysis.

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Reseña del editor

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.

Biografía del autor

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.

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Otras ediciones populares con el mismo título

9789351107750: Haskell Data Analysis Cookbook -

Edición Destacada

ISBN 10:  9351107752 ISBN 13:  9789351107750
Editorial: Shroff Publishers & Distribu..., 2014
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