| 000 -LEADER |
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| fixed length control field |
nam a22 7a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190311b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781107154889 |
| Terms of availability |
(hbk) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
518.1 |
| Item number |
MIT |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mitzenmacher, Michael |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Probability and computing : randomization and probabilistic techniques in algorithms and data analysis |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cambridge : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 467 p. : |
| Other physical details |
ill. ; |
| Dimensions |
26 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
GBP |
| Price amount |
44.99 |
| Unit of pricing |
00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithms |
|
|---|
| Topical term or geographic name as entry element |
Probabilities |
|
|---|
| Topical term or geographic name as entry element |
Stochastic analysis |
|
|---|
| Topical term or geographic name as entry element |
Computer science |
|
|---|
| Topical term or geographic name as entry element |
Mathematics |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Upfal, Eli |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |