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Computational Methods for Data Analysis (De Gruyter Stem) (English, Paperback, Carlo Cattani, Yeliz Caraca)

by Carlo Cattani, Yeliz Caraca

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Book Details

Author
Carlo Cattani, Yeliz Caraca
Publisher
Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi - 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500
Language
English
Pages
312 pages
ISBN-10
3110496356
ISBN-13
9783110496352
Publication Year
2018

About the Book

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...

Why You Should Read This Book

  • Written by acclaimed authors Carlo Cattani, Yeliz Caraca
  • Published by Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi - 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500 (2018)
  • 312 pages of comprehensive content
  • Available in English language
  • Ideal for students, professionals, and avid readers

Product Details

This edition of Computational Methods for Data Analysis (De Gruyter Stem) is published by Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi - 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500 and was first released in 2018. The book contains 312 pages packed with valuable information. It is available in multiple formats including Paperback and Hardcover editions, making it convenient for all types of readers.

Who Is This Book For?

Whether you are a student, a professional looking to expand your knowledge, or simply someone who loves reading, Computational Methods for Data Analysis (De Gruyter Stem) by Carlo Cattani, Yeliz Caraca is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery option available across India.

ISBN-13: 9783110496352
ISBN-10: 3110496356

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Product ID: isbn-9783110496352