000 | 01842cam a22003615i 4500 | ||
---|---|---|---|
999 |
_c28232 _d28203 |
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001 | 21347569 | ||
003 | EG-ScBUE | ||
005 | 20200304151653.0 | ||
008 | 191230s2019 cc a f b 001 0 eng d | ||
020 | _a9781492041139 | ||
035 | _a(OCoLC)on1060198620 | ||
040 |
_aYDX _beng _erda _cYDX _dBDX _dOCLCQ _dBYV _dOCP _dCLE _dJRZ _dOCLCF _dTVG _dVU@ _dYDXIT _dHF9 _dDLC _dEG-ScBUE |
||
082 | 0 | 4 |
_a005.7565 _bGRU _222 |
100 | 1 |
_aGrus, Joel _c(Software engineer), _eauthor. |
|
245 | 1 | 0 |
_aData science from scratch : _bfirst principles with Python / _cJoel Grus. |
250 | _aSecond edition. | ||
264 | 1 |
_aBeijing ; _aSebastopol, CA _bO'Reilly Media, _c2019. |
|
300 |
_axvii, 384 pages : _billustrations ; _c24 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aIntroduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science. | |
650 | 7 |
_aPython (Computer program language) _2BUEsh |
|
650 | 7 |
_aDatabase management. _2BUEsh |
|
650 | 7 |
_aData structures (Computer science) _2BUEsh |
|
650 | 7 |
_aData mining. _2BUEsh |
|
650 | 7 |
_aData mining _xMathematics. _2BUEsh |
|
653 |
_bCOMSCI _cMarch2020 |
||
655 |
_vText book _933728 |
||
942 |
_2ddc _cBB |