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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Item #: 19984448

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Item #: 19984448

SAR 363

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    Explore Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis. Comprehensive coverage & modern applications. Buy now at Ubuy Saudi Arabia!
    • 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)

    Product Description

    Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

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    Pros

    • Comprehensive coverage of topics
    • Clear explanations and examples
    • Strong focus on algorithms
    • Useful for both students and professionals
    • Well-structured for easy understanding

    Cons

    • Occasional complex terminology

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