000 | 02492cam a22003497i 4500 | ||
---|---|---|---|
001 | 20182357 | ||
005 | 20240926111641.0 | ||
008 | 171211s2017 caua b 001 0 eng d | ||
010 | _a 2017302988 | ||
020 | _a9781492072942 | ||
035 | _a(OCoLC)ocn936003166 | ||
040 | _cTBS | ||
041 | _aeng | ||
050 | 0 | 0 |
_aQA276.4 _b.B78 2020 |
100 |
_aBruce, Peter C. _d1953- _eauthor _923475 |
||
245 | 1 | 0 |
_aPractical statistics for data scientists _b: 50 essential concepts _c/ Peter Bruce and Andrew Bruce. |
250 | _aFirst edition. | ||
260 | _aSebastopol, CA : O'Reilly Media, Inc., 2020. | ||
300 |
_axvi, 342 pages : _billustrations, charts, tables (black and white) ; _c24 cm. |
||
504 | _aIncludes bibliographical references (pages 327-342) and index. | ||
505 | 0 | _aExploratory data analysis — Data and sampling distributions — Statistical experiments and significance testing — Regression and prediction — Classification — Statistical machine learning — Unsupervised learning. | |
520 | _aStatistical 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. | ||
526 | _aB3 Functional Competences: Data Management and Visualization | ||
650 | 0 |
_aMathematical analysis _xStatistical methods _923476 |
|
650 | 0 |
_aQuantitative research _xStatistical methods _923477 |
|
650 | 0 |
_aR (Computer program language) _912305 |
|
650 | 0 |
_aPython (Computer program language) _913080 |
|
650 | 0 |
_aStatistics _xData processing _913598 |
|
700 |
_aBruce, Andrew _d1958- _eauthor _914108 |
||
700 |
_aGedeck, Peter _eauthor _923478 |
||
942 | _2lcc | ||
999 |
_c3263 _d3263 |