
Computational Methods for Data Analysis by Yeliz Karaca
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.
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
| SKU | Unavailable |
| ISBN 13 | 9783110496352 |
| ISBN 10 | 3110496356 |
| Title | Computational Methods for Data Analysis |
| Author | Yeliz Karaca |
| Series | De Gruyter Stem |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | De Gruyter |
| Year published | 2018-12-17 |
| Number of pages | 395 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |











