Probability and Statistics for Data Science av Norman Matloff

769,-

Kjøp

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