Artboard 33Artboard 16Artboard 18Artboard 13Artboard 42Artboard 21Artboard 4Artboard 5Artboard 45Artboard 22Artboard 7Artboard 42Artboard 23Artboard 12Artboard 28Artboard 17?Artboard 28Artboard 43Artboard 49Artboard 47Artboard 15Artboard 32Artboard 6Artboard 22Artboard 5Artboard 25Artboard 1Artboard 42Artboard 11Artboard 41Artboard 11Artboard 23Artboard 10Artboard 4Artboard 9Artboard 6Artboard 8Artboard 7Artboard 3Artboard 12Artboard 25Artboard 34Artboard 43Artboard 44Artboard 16Artboard 24Artboard 13Artboard 5Artboard 24Artboard 31Artboard 1Artboard 12Artboard 27Artboard 30Artboard 36Artboard 44Artboard 9Artboard 17Artboard 6Artboard 27Artboard 30Artboard 29Artboard 26Artboard 2Artboard 20Artboard 35Artboard 15Artboard 14Artboard 50Artboard 26Artboard 14Artboard 40Artboard 21Artboard 10Artboard 37Artboard 46Artboard 33Artboard 8
e-book

Modeling Techniques in Predictive Analytics with Python and R - A Guide to Data Science (Cód: 9744999)

Miller,Thomas W.

PEARSON TECHNOLOGY GROUP

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 205,68

em até 6x de R$ 34,28 sem juros

Total:

Em até 1x sem juros de


Crédito:
Boleto:
Cartão Saraiva:

Total:

Em até 6x sem juros de


Modeling Techniques in Predictive Analytics with Python and R - A Guide to Data Science

R$205,68

Descrição

Master predictive analytics, from start to finish   Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R   This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math.   Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value.   Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code.   If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more.   All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/   Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage.   Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have.   Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data.   You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights.   You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed pr

Características

Peso 0.00 Kg
Produto sob encomenda Não
Marca PEARSON TECHNOLOGY GROUP
Número de Páginas 448 (aproximado)
Idioma 337
Acabamento e-book
Início da Venda 29/09/2014
Cód. Barras 9780133892147
Ano da Publicação 2014
AutorMiller,Thomas W.