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The Resource Practical statistics for data scientists : 50 essential concepts, Peter Bruce and Andrew Bruce

Practical statistics for data scientists : 50 essential concepts, Peter Bruce and Andrew Bruce

Label
Practical statistics for data scientists : 50 essential concepts
Title
Practical statistics for data scientists
Title remainder
50 essential concepts
Statement of responsibility
Peter Bruce and Andrew Bruce
Title variation
  • 50 essential concepts
  • Fifty essential concepts
Creator
Contributor
Author
Subject
Language
eng
Summary
"Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide 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 science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science ; How random sampling can reduce bias and yield a higher quality dataset, even with big data ; How the principles of experimental design yield definitive answers to questions ; How to use regression to estimate outcomes and detect anomalies ; Key classification techniques for predicting which categories a record belongs to ; Statistical machine learning methods that 'learn' from data ; Unsupervised learning methods for extracting meaning from unlabeled data"--Provided by publisher
Cataloging source
N$T
http://library.link/vocab/creatorDate
1953-
http://library.link/vocab/creatorName
Bruce, Peter C.
Dewey number
001.4/226
Illustrations
illustrations
Index
index present
LC call number
QA276.4
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1958-
http://library.link/vocab/relatedWorkOrContributorName
Bruce, Andrew
http://library.link/vocab/subjectName
  • Mathematical analysis
  • Quantitative research
  • Big data
  • REFERENCE / Questions & Answers
  • Data Mining
  • Datenanalyse
  • Statistik
Label
Practical statistics for data scientists : 50 essential concepts, Peter Bruce and Andrew Bruce
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Exploratory data analysis -- Data and sampling distributions -- Statistical experiments and significance testing -- Regression and prediction -- Classification -- Statistical machine learning -- Unsupervised learning
Control code
987251007
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (298 pages)
File format
unknown
Form of item
online
Isbn
9781491952931
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
96961a23-c486-4329-885d-86cc1f77a2ff
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)987251007
Label
Practical statistics for data scientists : 50 essential concepts, Peter Bruce and Andrew Bruce
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Exploratory data analysis -- Data and sampling distributions -- Statistical experiments and significance testing -- Regression and prediction -- Classification -- Statistical machine learning -- Unsupervised learning
Control code
987251007
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (298 pages)
File format
unknown
Form of item
online
Isbn
9781491952931
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
96961a23-c486-4329-885d-86cc1f77a2ff
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)987251007

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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