Probability Statistics Data Science by Matloff Norman (35 results)
Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Unknown, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
- First Edition
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Language: English
Published by Taylor & Francis Ltd, 2019
- Softcover
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Language: English
Published by Routledge 2019-07-01, 2019
- Softcover
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Language: English
Published by Taylor & Francis Ltd, 2019
- Softcover
- First Edition
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Condition: New. 2019. 1st Edition. Paperback. . . . . .
Language: English
Published by Chapman and Hall/CRC, 2019
- Softcover
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Condition: New. In English.
Language: English
Published by Taylor and Francis Ltd, GB, 2019
- Softcover
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Paperback. Condition: New. 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.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.…
Language: English
Published by CRC Press, 2019
- Softcover
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Language: English
Published by Taylor & Francis Ltd, 2019
- Softcover
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Condition: New. 2019. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Chapman & Hall, 2019
- Hardcover
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Hardcover. Condition: Brand New. 500 pages. 9.00x6.25x1.00 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC 2019-06-25, 2019
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by Taylor and Francis Ltd, GB, 2019
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. 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.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.…
Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by CRC Press, 2019
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by Taylor & Francis Ltd, 2019
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2019
- Hardcover
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Language: English
Published by Chapman & Hall, 2019
- Hardcover
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Hardcover. Condition: Brand New. 412 pages. 9.25x6.25x1.00 inches. In Stock.
