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Practical statistics for data scientists : (Record no. 35332)

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
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Shelving location Current location Public note Full call number
2021-12-31AUM Main Library2021-12-31 2021-12-31 Book  UBCC41.80 AUM-024978English Collections HallAUM Main Libraryinvoice 2021/1473001.422 B886
2021-12-31AUM Main Library2021-12-31 2021-12-31 Book  UBCC41.80 AUM-024979English Collections HallAUM Main Libraryinvoice 2021/1473001.422 B886

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