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"COPY LINK: https://pdf.bookcenterapp.com/slide/1138393290<br><br>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"
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Probability and Statistics for Data Science: Math + R + Data (Chapman &Hall/CRC Data Science Series)
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Probability and Statistics for Data Science: Math + R + Data (Chapman &Hall/CRC Data Science Series) DESCRIPTION COPY LINK: https://pdf.bookcenterapp.com/slide/1138393290 Probability and Statistics for Data Science: Math + R + Data covers "matstat"#8213distributions, expected value, estimation etc.―bu takes the phrase "DatScience"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 "howquot and "whyquot of statistics, and to "seethe big picture." Not "therem/proof"oriented, but concepts and models are stated in a mathematically precise manner.Prerequisites are calculus, some matrix algebra, and some experience in programming.Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.
Probability and Statistics for Data Science: Math + R + Data (Chapman &Hall/CRC Data Science Series) GET NOW Probability and Statistics for Data Science: Math + R + Data (Chapman &Hall/CRC Data Science Series) OR CLICK THE BUTTON HERE
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