The data science design manual / Steven S. Skiena

By: Skiena, Steven S [author.]
Contributor(s): Ohio Library and Information Network
Material type: TextTextSeries: Texts in computer science: Publisher: Cham, Switzerland : Springer, 2017Description: 1 online resource (xvii, 445 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783319554440; 3319554441Subject(s): Mathematical statistics -- Data processingGenre/Form: Electronic books. Additional physical formats: No titleDDC classification: 519.50285 LOC classification: QA276.4Online resources: Click here to access online | Click here to access online | SpringerLink Connect to resource (off-campus)
Contents:
What is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale
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e-Books e-Books Main Library -University of Zimbabwe
Click on Online resources to access the e-Book QA276.4 (Browse shelf) Available

What is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale

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