| 000 | 02576cam a22004098i 4500 | ||
|---|---|---|---|
| 999 |
_c297 _d297 |
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| 001 | 21065296 | ||
| 003 | OSt | ||
| 005 | 20251027105627.0 | ||
| 008 | 190701s2019 flu 000 0 eng c | ||
| 010 | _a 2019025160 | ||
| 020 |
_a9780367357986 _q(hardback) |
||
| 040 |
_aLBSOR/DLC _beng _erda _cDLC _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA276.45.R3 _bI75 2019 |
| 082 | 0 | 0 |
_aGrad. 005.362 _bI689 2020 _223 |
| 100 | 1 |
_aIrizarry, Rafael A., _eauthor. |
|
| 245 | 1 | 0 |
_aIntroduction to data science : _bdata analysis and prediction algorithms with R / _cRafael A. Irizarry. |
| 263 | _a1911 | ||
| 264 | 1 |
_a[Boca Raton] : _b[CRC Press], _c[2019] |
|
| 300 | _apages cm | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 505 | 0 | _aInstalling R and RStudio -- Getting started with R and RStudio -- R Basics -- Programming basics -- The tidyverse -- Importing data -- Introduction to data visualization -- ggplot2 -- Visualizing data distributions -- Data visualization in practice -- Data visualization principles -- Robust summaries -- Introduction to statistics with R -- Probability -- Random variables -- Statistical inference -- Statistical models -- Regression -- Linear models -- Association is not causation -- Introduction to data wrangling -- Reshaping data -- Joining tables -- Web scraping -- String processing -- Parsing dates and times -- Text mining -- Introduction to machine learning -- Smoothing -- Cross validation -- The caret package -- Examples of algorithms -- Machine learning in practice -- Large datasets -- Clustering -- Introduction to productivty tools -- Accessing the terminal and installing Git -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown. | |
| 520 |
_a"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"-- _cProvided by publisher. |
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| 650 | 0 | _aR (Computer program language) | |
| 650 | 0 | _aInformation visualization. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 |
_aStatistics _xData processing. |
|
| 650 | 0 |
_aProbabilities _xData processing. |
|
| 650 | 0 | _aComputer algorithms. | |
| 650 | 0 | _aQuantitative research. | |
| 776 | 0 | 8 |
_iOnline version: _aIrizarry, Rafael A. _tIntroduction to data science. _d[Boca Raton] : [CRC Press], [2019]. _z9780429341830 _w(DLC) 2019025161 |
| 906 |
_a7 _brip _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cCIR |
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