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Johnson, Kjell,Kuhn, Max

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Hardcover. Condition: Good. Connecting readers with great books since 1972. Used books may not include companion materials, some shelf wear, may contain highlighting/notes, may not include cdrom or access codes. Customer service is our top priority!. Seller Inventory # S_226279064

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ISBN 10: 1461468485 ISBN 13: 9781461468486

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Max Kuhn, Kjell Johnson

Published by Springer-Verlag New York Inc., United States (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc., United States, 2013. Hardback. Condition: New. 2013 ed.. Language: English . Brand New Book. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book s R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Seller Inventory # SPR9781461468486

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Max Kuhn, Kjell Johnson

Published by Springer-Verlag New York Inc., United States (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc., United States, 2013. Hardback. Condition: New. 2013 ed.. Language: English . Brand New Book. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book s R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Seller Inventory # SPR9781461468486

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Max Kuhn, Kjell Johnson

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Hardcover. Condition: Used: Good. 2013. Seller Inventory # SONG1461468485

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Kuhn, Max; Johnson, Kjell

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Hardcover. Condition: New. Seller Inventory # DADAX1461468485

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Max Kuhn (author), Kjell Johnson (author)

Published by Springer New York 2013-05-17, New York (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer New York 2013-05-17, New York, 2013. hardback. Condition: New. Seller Inventory # 9781461468486

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Kuhn, Max; Johnson, Kjell

Published by Springer

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer. Hardcover. Condition: New. 1461468485 Brand New ,Original Book , Direct from Source , Express 6-8 business days worldwide delivery. Seller Inventory # DG#IJ278940

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Max Kuhn

Published by Springer-Verlag New York Inc.

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc. Hardback. Condition: New. New copy - Usually dispatched within 2 working days. Seller Inventory # B9781461468486

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Max Kuhn; Kjell Johnson

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Condition: New. book. Seller Inventory # ria9781461468486_rkm

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Johnson, Kjell, Kuhn, Max

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Hardcover. Condition: New. BRAND NEW ** SUPER FAST SHIPPING FROM UK WAREHOUSE ** 30 DAY MONEY BACK GUARANTEE. Seller Inventory # mon0000988902

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Kuhn, Max

Published by Springer-Verlag New York Inc. (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc., 2013. HRD. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781461468486

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Kuhn, Max

Published by Springer-Verlag New York Inc. (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc., 2013. HRD. Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Seller Inventory # BB-9781461468486

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Kuhn, Max; Johnson, Kjell

Published by Springer

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer. Hardcover. Condition: New. 1461468485 Brand New ,Original Book , Direct from Source , Express 6-8 business days worldwide delivery. Seller Inventory # RB#BE102910

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Kuhn, Max

Published by Springer (2016)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9781461468486_lsuk

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Max Kuhn, Kjell Johnson

Published by Springer-Verlag New York Inc., United States (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer-Verlag New York Inc., United States, 2013. Hardback. Condition: New. 2013 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book s R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Seller Inventory # LIE9781461468486

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Max Kuhn; Kjell Johnson

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Condition: New. book. Seller Inventory # M1461468485

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ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Condition: New. Bookseller Inventory # ST1461468485. Seller Inventory # ST1461468485

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Kuhn, Max / Johnson, Kjell

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Condition: New. Publisher/Verlag: Springer, Berlin | This book provides an introduction to predictive models as well as a guide to applying them. It will serve as a useful guide for practitioners. All results can be reproduced using R. | Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process.This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. | General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices. | Format: Hardback | Language/Sprache: english | 1006 gr | 242x166x38 mm | 600 pp. Seller Inventory # K9781461468486

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Max Kuhn; Kjell Johnson

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Condition: New. Seller Inventory # EH9781461468486

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Kuhn, Max; Johnson, Kjell

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Hardcover. Condition: New. This item is printed on demand. Seller Inventory # INGM9781461468486

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MAX KUHN

Published by Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2013. Hardback. Condition: NEW. 9781461468486 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0435088

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Max Kuhn; Kjell Johnson

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Condition: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Seller Inventory # 1461468485-2-4

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Max Kuhn; Kjell Johnson

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Condition: UsedAcceptable. book. Seller Inventory # M1461468485_4

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Kuhn, Max

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Hardcover. Condition: New. Never used! This item is printed on demand. Seller Inventory # 1461468485

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Kuhn, Max/ Johnson, Kjell

Published by Springer Verlag (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer Verlag, 2013. Hardcover. Condition: Brand New. 1st edition. 600 pages. 9.25x6.25x1.25 inches. In Stock. Seller Inventory # __1461468485

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Kjell Johnson

Published by Springer New York Mrz 2018 (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer New York Mrz 2018, 2018. Buch. Condition: Neu. Neuware - Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process.This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. 616 pp. Englisch. Seller Inventory # 9781461468486

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Kuhn, Max

Published by Springer (2018)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: Springer, 2018. Hardcover. Condition: New. Brand New! This item is printed on demand. Seller Inventory # 1461468485

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Kuhn, Max; Johnson, Kjell

Published by U.S.A.: Springer (2013)

ISBN 10: 1461468485 ISBN 13: 9781461468486

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About this Item: U.S.A.: Springer, 2013. Hardcover. Condition: New. Dust Jacket Condition: New. New, US Edition . Delivery time is 3-5 business days via either UPS, FedEx, DHL. Premium quality books. Seller Inventory # 1461468485

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Max Kuhn

Published by Springer

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About this Item: Springer. Hardcover. Condition: New. 620 pages. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R and D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R and D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Seller Inventory # 9781461468486

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