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Probability and statistics for data science : Math + R + data / Norman Matloff

By: Material type: TextTextSeries: Series in computer science and data analysisPublication details: Boca Raton CRC Press 2019Description: 412pISBN:
  • 9781138393295
Subject(s): DDC classification:
  • 519.5 MAT-N
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 510 General Stack (For lending) 519.5 MAT-N (Browse shelf(Opens below)) Available 44982
Total holds: 0

Probability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming."

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