Information-Theoretic Methods in Data Science
Download or Read eBook Information-Theoretic Methods in Data Science PDF written by Miguel R. D. Rodrigues and published by Cambridge University Press. This book was released on 2021-04-08 with total page 561 pages. Available in PDF, EPUB and Kindle.
| Author | : Miguel R. D. Rodrigues |
| Publisher | : Cambridge University Press |
| Total Pages | : 561 |
| Release | : 2021-04-08 |
| ISBN-10 | : 9781108427135 |
| ISBN-13 | : 1108427138 |
| Rating | : 4/5 (35 Downloads) |
Book Synopsis Information-Theoretic Methods in Data Science by : Miguel R. D. Rodrigues
Book excerpt: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.
