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*Supports Multiple Formats

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,

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Book ID Asin: 036726093X
Book Title: Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series)
Book Author: Norman Matloff
Book Format: unknownBook Price: unknown
Book Category: Books, Science & Math, Mathematics and unknown
Book Rating: 29 ratings

Probability and Statistics for Data Science: Math + R + Data (Chapman & Hall/CRC Data Science Series) by Norman Matloff Book Review

Name: Neil Frazer
Rating: 5.0 out of 5 stars
Title: Great for a textbook, or for self-instruction
Date: Reviewed in the United States on May 28, 2020
Review: I like this new book a lot, for all sorts of reasons, and will probably use it as as a textbook for my graduate level introduction to coding for scientists the next time I teach it. The book is only incidentally about coding, but learning to code can be awfully dull if one isn't also learning, or at least reviewing, something else at the same time, and this book painlessly reviews the statistical concepts and principles needed for data analysis in any field of science. The exercises at the end of each chapter are separated into math problems and computation/data problems, making it easy to assign a few of each type for homework. In over 400 pages I noticed only 40 typos, nearly all of them very minor, which is excellent for a first printing.

Name: Fernando Zampieri
Rating: 4.0 out of 5 stars
Title: Good book to dive on probability
Date: Reviewed in the United States on August 15, 2019
Review: Great book to grasp basic probability concepts.
Examples sometimes are a little bit detached, but otherwise a great book