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20221024172333.0
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210928s2020 caua e b 001 0 eng d
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a| GBC061788
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a| 019800669
2| Uk
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a| 9781492072942
q| (paperback)
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a| (HKSYU)b21407484-852hksyu_inst
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a| (OCoLC)1158315601
z| (OCoLC)1125267815
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a| CUA000349597
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a| UTV
b| eng
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d| UKMGB
d| IBI
d| OCLCO
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d| JAS
d| CVU
d| HK-SYU
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a| QA276.4
b| .B783 2020
082
0
4
a| 001.4/22
2| 23
092
0
a| 001.422
b| BRU 2020
100
1
a| Bruce, Peter C.,
d| 1953- ,
e| author.
245
1
0
a| Practical statistics for data scientists :
b| 50+ essential concepts using R and Python /
c| Peter Bruce, Andrew Bruce, and Peter Gedeck.
246
3
0
a| 50+ essential concepts using R and Python
246
3
0
a| Fifty plus essential concepts using R and Python
250
a| Second edition.
264
1
a| Sebastopol, CA :
b| O'Reilly Media, Inc.,
c| 2020.
264
4
c| ©2020
300
a| xvi, 342 pages :
b| illustrations ;
c| 24 cm
336
a| text
b| txt
2| rdacontent
336
a| still image
b| sti
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
504
a| Includes bibliographical references (pages 327-328) and index.
505
0
a| Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning.
520
a| 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
a| Mathematical analysis
x| Statistical methods.
650
0
a| Quantitative research
x| Statistical methods.
650
0
a| R (Computer program language)
650
0
a| Python (Computer program language)
650
0
a| Statistics
x| Data processing.
700
1
a| Bruce, Andrew,
d| 1958- ,
e| author.
700
1
a| Gedeck, Peter,
e| author.
907
a| b21407484
b| 11-11-21
c| 28-09-21
910
a| ykc
b| mkl
935
a| (HK-SYU)501035741
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998
a| book
b| 11-11-21
c| m
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945
h| Principal
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