2018, ISBN: 9781461468486

[ED: Hardcover], [PU: Springer / Springer New York / Springer, Berlin], Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of dat… Mehr…

[ED: Hardcover], [PU: Springer / Springer New York / Springer, Berlin], 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. 1st ed. 2013, Corr. 2nd printing 2018. 2013. xiii, 600 S. XIII, 600 p. 310 illus., 296 illus. in color. Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

2013, ISBN: 1461468485

[EAN: 9781461468486], Neubuch, [PU: Springer New York Mai 2013], BIOSTATISTIK; STATISTIK / MATHEMATIK STATISTIK; MODEL; NON-LINEAR; PREDICTIVEMODELS; R; REGRESSIONMODELS; REGRESSIONTREES,… Mehr…

[EAN: 9781461468486], Neubuch, [PU: Springer New York Mai 2013], BIOSTATISTIK; STATISTIK / MATHEMATIK STATISTIK; MODEL; NON-LINEAR; PREDICTIVEMODELS; R; REGRESSIONMODELS; REGRESSIONTREES, This item is printed on demand - it takes 3-4 days longer - 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, Books<

ISBN: 9781461468486

[ED: Buch], [PU: Springer New York], Neuware - Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data spl… Mehr…

[ED: Buch], [PU: Springer New York], 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 241x160x39 mm, 616, [GW: 1080g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2013, ISBN: 1461468485

[EAN: 9781461468486], Nieuw boek, [SC: 14.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / MATHEMATIK STATISTIK; MODEL; NON-LINEAR; PREDICTIVEMODELS; R; REGRESSIONMODELS; REGRESSION… Mehr…

[EAN: 9781461468486], Nieuw boek, [SC: 14.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / MATHEMATIK STATISTIK; MODEL; NON-LINEAR; PREDICTIVEMODELS; R; REGRESSIONMODELS; REGRESSIONTREES, Druck auf Anfrage Neuware - Printed after ordering - 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., Books<

ISBN: 9781461468486

ISBN-13: 9781461468486, 978-1461468486. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for e… Mehr…

ISBN-13: 9781461468486, 978-1461468486. 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. Applied Predictive Modeling Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days)., Springer-Verlag NY Inc.<