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PROBABILITY AND STATISTICS FOR DATA SCIENCE : MATH + R + DATA

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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

Availability
Inventory Code Barcode Call Number Location Status
2208000018EB0000513004.3Central Library (T&F Database)Available
Detail Information
Series Title
-
Call Number
004.3 Mat p
Publisher
Boca Raton : CRC Press Taylor & Francis Group.,
Collation
444 p
Language
English
ISBN/ISSN
978-04-294-01862
Classification
004.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1st Edition
Subject(s)
Data Processing, System, and Concepts
Specific Detail Info
-
Statement of Responsibility
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No other version available

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