000 -LEADER |
fixed length control field |
01915cam a2200337Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
jomaaum |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220106104129.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
130620t20142013caua 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781449358655 (pbk.) |
|
International Standard Book Number |
1449358659 (pbk.) |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Edition number |
23 |
Item number |
O586 |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
QA76.9.D343 |
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
O545 2014 |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
Classification number |
006.312 |
Item number |
One |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
O'Neil, Cathy, |
Relator term |
author. |
9 (RLIN) |
44827 |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Doing data science / |
Statement of responsibility, etc |
Cathy O'Neil and Rachel Schutt. |
246 1# - VARYING FORM OF TITLE |
Display text |
Subtitle on cover: |
Title proper/short title |
Straight talk from the frontline |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Sebastopol, CA : |
Name of publisher, distributor, etc |
O'Reilly, |
Date of publication, distribution, etc |
2014. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxv, 377 p. : |
Other physical details |
ill. (col.) ; |
Dimensions |
23 cm. |
500 ## - GENERAL NOTE |
General note |
2013-10-08: first release ; 2013-12-13: second release ; 2014-10-10: third release. |
|
General note |
Includes index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction : What is data science? -- Statistical inference, exploratory data analysis, and the data science process -- Algorithms -- Spam filters, naive bayes, and wrangling -- Logistic regression -- Time stamps and financial modeling -- Extracting meaning from data -- Recommendation engines : building a user-facing data product at scale -- Data visualization and fraud detection -- Social networks and data journalism -- Causality -- Epidemiology -- Lessons learned from data competitions : data leakage and model evaluation -- Data engineering : MapReduce, Pregel, and Hadoop -- The students speak -- Next-generation data scientists, hubris, and ethics. |
520 ## - SUMMARY, ETC. |
Summary, etc |
A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
|
Topical term or geographic name as entry element |
Big data. |
9 (RLIN) |
42765 |
|
Topical term or geographic name as entry element |
Information science. |
|
Topical term or geographic name as entry element |
Data structures (Computer science) |
|
Topical term or geographic name as entry element |
Database management. |
|
Topical term or geographic name as entry element |
Cyberinfrastructure. |
9 (RLIN) |
39735 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Schutt, Rachel, |
Dates associated with a name |
1976- |
Relator term |
author. |
9 (RLIN) |
44828 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Book |