Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 1), 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Condizione: good. Used - Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
Paperback. Condizione: Fine.
paperback. Condizione: As New. Paperback--no flaws.
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Condizione: New.
paperback. Condizione: New. Brand New Book.
Condizione: As New. Unread book in perfect condition.
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Taylor & Francis 2019-01-22, 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: Chiron Media, Wallingford, Regno Unito
EUR 60,28
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 89,00
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 376.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 83,94
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 376.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 90,35
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Da: Chiron Media, Wallingford, Regno Unito
EUR 89,18
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 95,06
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 92,23
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 100,99
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 376.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 102,09
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2019. 1st Edition. Paperback. . . . . .
Da: moluna, Greven, Germania
EUR 73,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New.
Condizione: New. 2019. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 128,52
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 500 pages. 9.00x6.25x1.00 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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. This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data science students (including computer science). In addition to calculus, the text assumes basic knowledge of matrix algebra and rudimentary computer programming. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 72,36
Quantità: 5 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 98,19
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Taylor and Francis Ltd (Sales), 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 105,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: CitiRetail, Stevenage, Regno Unito
EUR 77,25
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data science students (including computer science). In addition to calculus, the text assumes basic knowledge of matrix algebra and rudimentary computer programming. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 1138393290 ISBN 13: 9781138393295
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 149,07
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at data science students (including computer science). In addition to calculus, the text assumes basic knowledge of matrix algebra and rudimentary computer programming. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.