Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis by Mitzenmacher, Michael; Upfal, Eli

Cambridge University Press, 2017-07-03. 2. hardcover. Used: Good.

Cambridge University Press, 2017-07-03. 2. hardcover. Used:Good.

ISBN: 9781107154889
Cambridge University Press, 01 January 2017
Hardback, 467 pages
Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

Cambridge University Press CUP , . Hardback. New.

Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machi

Hardback. New. This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.

Cambridge Univ Pr, 2017. Hardcover. New. 2nd edition. 467 pages. 10.25x7.25x1.25 inches.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

CAMBRIDGE. New. Special order direct from the distributor

Cambridge University Press, 2017-07-03. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking