Computational Methods for Data Analysis
| Author | : Yeliz Karaca |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 473 |
| Release | : 2018-12-17 |
| ISBN-10 | : 9783110493603 |
| ISBN-13 | : 3110493608 |
| Rating | : 4/5 (608 Downloads) |
Book Synopsis Computational Methods for Data Analysis by : Yeliz Karaca
Download or read book Computational Methods for Data Analysis written by Yeliz Karaca and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-12-17 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 then used for the processing of real-life data using Matlab.
