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Information-Theoretic Methods in Data Science Miguel R D Rodrigues
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Information-Theoretic Methods in Data Science
Miguel R D Rodrigues
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.
565 pages, Worked examples or Exercises; 1 Halftones, black and white; 73 Line drawings, black and w
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2021. gada 8. aprīlis |
| ISBN13 | 9781108427135 |
| Izdevēji | Cambridge University Press |
| Lapas | 560 |
| Izmēri | 250 × 177 × 38 mm · 1,08 kg |
| Valoda | Angļu |
| Redaktors | Eldar, Yonina C. (Weizmann Institute of Science, Israel) |
| Redaktors | Rodrigues, Miguel R. D. (University College London) |
