000 | 04765cam a2200601Ii 4500 | ||
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001 | 9781003020646 | ||
003 | FlBoTFG | ||
005 | 20230516170540.0 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 201130s2021 enk ob 001 0 eng d | ||
040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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020 |
_a9781003020646 _q(electronic bk.) |
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020 |
_a100302064X _q(electronic bk.) |
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020 |
_a9781000215274 _q(electronic bk. : EPUB) |
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020 |
_a100021527X _q(electronic bk. : EPUB) |
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020 | _z9780367895860 | ||
020 |
_a9781000215236 _q(electronic bk. : Mobipocket) |
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020 |
_a1000215237 _q(electronic bk. : Mobipocket) |
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020 | _z9780367897062 | ||
020 |
_a9781000215199 _q(electronic bk. : PDF) |
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020 |
_a1000215199 _q(electronic bk. : PDF) |
||
035 | _a(OCoLC)1224544725 | ||
035 | _a(OCoLC-P)1224544725 | ||
050 | 4 |
_aQA76.9.D343 _bZ458 2021eb |
|
072 | 7 |
_aCOM _x051360 _2bisacsh |
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072 | 7 |
_aCOM _x051010 _2bisacsh |
|
072 | 7 |
_aCOM _x012040 _2bisacsh |
|
072 | 7 |
_aUN _2bicssc |
|
082 | 0 | 4 |
_a006.3/12 _223 |
100 | 1 |
_aZhang, Nailong, _eauthor. _971429 |
|
245 | 1 | 2 |
_aA tour of data science : _blearn R and Python in parallel / _cNailong Zhang. |
250 | _aFirst edition. | ||
264 | 1 |
_aAbingdon, Oxon ; _aBoca Raton, FL : _bCRC Press, _c2021. |
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300 | _a1 online resource (x, 206 pages). | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 | _aChapman & Hall/CRC big data series | |
520 | _aA Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective. | ||
505 | 0 | _aAssumptions about the readers backgroundBook overviewIntroduction to R/Python ProgrammingCalculatorVariable and TypeFunctionsControl flowsSome built-in data structuresRevisit of variablesObject-oriented programming (OOP) in R/PythonMiscellaneousMore on R/Python ProgrammingWork with R/Python scriptsDebugging in R/PythonBenchmarkingVectorizationEmbarrassingly parallelism in R/PythonEvaluation strategySpeed up with C/C++ in R/PythonA first impression of functional programming Miscellaneousdata.table and pandasSQLGet started with data.table and pandasIndexing & selecting dataAdd/Remove/UpdateGroup byJoinRandom Variables, Distributions & Linear RegressionA refresher on distributionsInversion sampling & rejection samplingJoint distribution & copulaFit a distributionConfidence intervalHypothesis testingBasics of linear regressionRidge regressionOptimization in PracticeConvexityGradient descentRoot-findingGeneral purpose minimization tools in R/PythonLinear programmingMiscellaneousMachine Learning - A gentle introductionSupervised learningGradient boosting machineUnsupervised learningReinforcement learningDeep Q-NetworksComputational differentiationMiscellaneous | |
520 |
_a"A Tour of Data Science : Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source"-- _cProvided by publisher. |
||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 7 |
_aCOMPUTERS / Programming Languages / Python _2bisacsh _919444 |
|
650 | 7 |
_aCOMPUTERS / Programming Languages / General _2bisacsh _911055 |
|
650 | 7 |
_aCOMPUTERS / Computer Graphics / Game Programming & Design _2bisacsh _912289 |
|
650 | 0 |
_aData mining. _93907 |
|
650 | 0 |
_aR (Computer program language) _94991 |
|
650 | 0 |
_aPython (Computer program language) _96666 |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003020646 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 | _cEBK | ||
999 |
_c83026 _d83026 |