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Statistical Regression Classification Linear by Matloff Norman (22 results)
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STATISTICAL REGRESSION AND CLASSIFICATION: FROM LINEAR MODELS TO MACHINE LEARNING
Book 24 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 0367241404 ISBN 13: 9780367241407
Condition: New.
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Statistical Regression And Classification : From Linear Models To Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Condition: New.
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Statistical Regression And Classification : From Linear Models To Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Condition: New.
-
Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Statistical Regression and Classification: From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Inc, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Condition: New.
-
Paperback. Condition: Brand New. 489 pages. 9.00x6.00x1.00 inches. In Stock.
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Statistical Regression And Classification : From Linear Models To Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498710913 ISBN 13: 9781498710916
Condition: New.
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Taschenbuch. Condition: Neu. Neuware - This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
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Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Condition: As New. Unread book in perfect condition.
-
Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Condition: New.
-
Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Condition: New.
-
Statistical Regression and Classification : From Linear Models to Machine Learning
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Book 24 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Gebunden. Condition: New. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. Statistical Regression and Classification: From Linear Models to Machin.
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Statistical Regression and Classification: From Linear Models to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Book 46 of 59: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 113806646X ISBN 13: 9781138066465
Condition: New.
-
Buch. Condition: Neu. Neuware - This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
