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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
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IDR 1867488
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Rincian Produk
- Comprehensively covers randomization and probabilistic techniques in modern computer science
- Includes new material relevant to machine learning and big data analysis
- Requires only an elementary background in discrete mathematics
- Authored by Michael Mitzenmacher, a Professor of Computer Science at Harvard University, and Eli Upfal, a Professor of Computer Science at Brown University
- Michael Mitzenmacher has authored or co-authored over 200 conference and journal publications on a variety of topics, including algorithms for the internet, efficient hash-based data structures, erasure and error-correcting codes, power laws, and compression
- Eli Upfal's main research interests are randomized algorithms, probabilistic analysis of algorithms, and computational statistics, with applications ranging from combinatorial and stochastic optimization, massive data analysis and sampling complexity to computational biology, and computational finance
| Publisher | Cambridge University Press |
| Publication date | July 3, 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 484 pages |
| ISBN-10 | 9781107154889 |
| ISBN-13 | 978-1107154889 |
| Item Weight | 2.54 pounds (1.15 kg) |
| Dimensions | 10.27 x 7.45 x 1.15 inches (26.1 x 18.9 x 2.9 cm) |
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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
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IDR 1867488
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