MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02784cam a22003618i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21176097 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230917020003.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190829s2020 nyu b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019038133 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781108485067 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76 |
| Item number |
.B5675 2020 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004 |
| Edition number |
23 |
| Item number |
BLU-F |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Blum, Avrim |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Foundations of data science |
| Statement of responsibility, etc |
by Avrim Blum, John Hopcroft and Ravindran Kannan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
©2020 |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
1912 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
viii, 424 p. : |
| Other physical details |
ill. ; |
| Dimensions |
26 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
1 Introduction<br/><br/><br/><br/><br/><br/> |
| -- |
2 High-Dimensional Space |
| -- |
3 Best-Fit Subspaces and Singular Value Decomposition (SVD) |
| -- |
4 Random Walks and Markov Chains |
| -- |
5 Machine Learning |
| -- |
6 Algorithms for Massive Data Problems: Streaming, Sketching, and Sampling |
| -- |
7 Clustering |
| -- |
8 Random Graphs |
| -- |
9 Topic Models, Nonnegative Matrix Factorization, Hidden Markov Models, and Graphical Models |
| -- |
10 Other Topics |
| -- |
11 Wavelets<br/> |
| -- |
12 Background Material |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Quantitative research. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hopcroft, John. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kannan, Ravindran |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Online version: |
| Main entry heading |
Blum, Avrim, 1966- |
| Title |
Foundations of data science |
| Edition |
First edition. |
| Place, publisher, and date of publication |
New York, NY : Cambridge University Press, 2020. |
| International Standard Book Number |
9781108755528 |
| Record control number |
(DLC) 2019038134 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
rip |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
2 |
