000 -LEADER |
fixed length control field |
02380cam a2200337 i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
jomaaum |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220106122417.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200615t20202020caua b 001 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781492072942 |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
OSUU |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA276.4 |
Item number |
.B783 2020 |
|
Classification number |
QA276.4 |
Item number |
.B783 2020 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
001.422 |
Edition number |
23 |
Item number |
B886 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bruce, Peter C., |
Dates associated with a name |
1953- |
Relator term |
author. |
9 (RLIN) |
44850 |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Practical statistics for data scientists : |
Remainder of title |
50+ essential concepts using R and Python / |
Statement of responsibility, etc |
Peter Bruce, Andrew Bruce, and Peter Gedeck |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Sebastopol, CA : |
Name of publisher, distributor, etc |
O'Reilly Media, Inc., |
Date of publication, distribution, etc |
2020. |
264 #4 - Publication, Copyright Notice (RDA) |
Date of publication |
©2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 342 p. : |
Other physical details |
ill. ; |
Dimensions |
24 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning |
520 ## - SUMMARY, ETC. |
Summary, etc |
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 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical analysis |
General subdivision |
Statistical methods |
9 (RLIN) |
44851 |
|
Topical term or geographic name as entry element |
Quantitative research |
General subdivision |
Statistical methods |
9 (RLIN) |
44852 |
|
Topical term or geographic name as entry element |
R (Computer program language) |
|
Topical term or geographic name as entry element |
Python (Computer program language) |
9 (RLIN) |
4569 |
|
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Data processing. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Bruce, Andrew, |
Dates associated with a name |
1958- |
Relator term |
author. |
9 (RLIN) |
44853 |
|
Personal name |
Gedeck, Peter, |
Relator term |
author. |
9 (RLIN) |
44854 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Book |