Demystify today's premier client/server enterprise software!The all-in-one guide to successfully implementing enterprise-wide business process engineering now brings you up to …
Explore powerful R packages to create predictive models using ensemble methodsKey FeaturesImplement machine learning algorithms to build ensemble-efficient modelsExplore powerful …
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, …
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how …
Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction …
Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented …
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field …
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. …
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with …
Master Deep Learning with this fun, practical, hands on guide. With the explosion of big data deep learning is now …
Key FeaturesHarness the power of R for statistical computing and data scienceExplore, forecast, and classify data with RUse R to …
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and …
Contributors: Franzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt Bayesian Data Analysis in Ecology Using …
Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code About This …
The R language is a powerful open source functional programming language. At its core, R is a statistical programming language …
Finally, A Blueprint for Machine Learning with R!Machine Learning Made Easy with R offers a practical tutorial that uses hands-on …
Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised …
Winner of the 2014 Technometrics Ziegel Prize for Outstanding BookApplied Predictive Modeling covers the overall predictive modeling process, beginning with …
CreateSpace Independent Publishing Platform, 2015. — 598 p. — ISBN: 151751679X, 9781517516796This jam-packed book takes you under the hood with …
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books …
Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack …
R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks …
Internet, 2016. — 200 p. — ASIN: B01D0PJMCIWho Else Wants to Learn from Data the Easy Way? Start building smarter …
This book starts with the installation of R and how to go about using R and its libraries. We then …
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for …
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis …
