R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient …
Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine …
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data …
Based on the author’s experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning …
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …
R has been the gold standard in applied machine learning for a long time. Surveys show that it is the …
Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. …
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with …
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with …
This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools.Key FeaturesGet a firm hold …
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for …
R in Action, Second Edition presents both the R language and the examples that make it so useful for business …
R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve …
Become a more productive programmer with Efficient R Programming. Drawing on years of experience teaching R courses, authors Colin Gillespie …
This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a …
Master the Shiny web framework-and take your R skills to a whole new level. By letting you move beyond static …
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see …
AnnotationCustomer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source …
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden …
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field …
Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, …
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings …
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been …
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the …
Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn …
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements …
This text grew out of the author’s notes for a course that he has taught for many years to a …
This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, …
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