MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03018cam a22004937i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22227145 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230622103009.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210909t20202020caua e b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018420845 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC061788 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
019800669 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9781492072942 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
149207294X |
| Qualifying information |
(paperback) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1158315601 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UTV |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
001.4/22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal author |
Bruce, Peter C., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Practical statistics for data scientists : |
| Subtitle |
50+ essential concepts using R and Python / |
| Statement of responsibility, etc |
Peter Bruce, Andrew Bruce, and Peter Gedeck. |
| 250 ## - EDITION |
|---|
| Edition statement |
Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Sebastopol, CA : |
| Name of producer, publisher, distributor, manufacturer |
O'Reilly Media, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Physical description |
xvi, 342 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (pages 327-328) and index. |
| 505 0# - CONTENTS |
|---|
| Contents |
Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning. |
| 520 ## - ABSTRACT |
|---|
| Abstract |
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.-- |
| Assigning source |
Source other than the Library of Congress. |
| 650 #0 - SUBJECT HEADINGS |
|---|
| Subject term |
Mathematical analysis |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT HEADINGS |
|---|
| Subject term |
Quantitative research |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT HEADINGS |
|---|
| Subject term |
R (Computer program language) |
| 650 #0 - SUBJECT HEADINGS |
|---|
| Subject term |
Python (Computer program language) |
| 650 #0 - SUBJECT HEADINGS |
|---|
| Subject term |
Statistics |
| General subdivision |
Data processing. |
| 650 #7 - SUBJECT HEADINGS |
|---|
| Subject term |
Python (Computer program language) |
| Authority record control number |
(OCoLC)fst01084736 |
| 650 #7 - SUBJECT HEADINGS |
|---|
| Subject term |
R (Computer program language) |
| Authority record control number |
(OCoLC)fst01086207 |
| 650 #7 - SUBJECT HEADINGS |
|---|
| Subject term |
Statistics |
| General subdivision |
Data processing. |
| Authority record control number |
(OCoLC)fst01132113 |
| 700 1# - ADDED PERSONAL NAME |
|---|
| Added personal author |
Bruce, Andrew, |
| Relator term |
author. |
| 700 1# - ADDED PERSONAL NAME |
|---|
| Added personal author |
Gedeck, Peter, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Suppress in OPAC |
Do not Suppress in OPAC |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |