R

Аналитика в Power BI с помощью R и Python. Райан Уэйд (2021)

 Данная книга поможет вам научиться использовать языки программирования R и Python в аналитике совместно с Microsoft Power BI. Эксперт в области анализа данных и автор книги Райан Уэйд продемонстрирует на примерах, как можно легко и просто применить R и …

русский

Practical Data Science with R. 2 Ed. Nina Zumel, John Mount (2020)

 Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques …

english

R в действии. 3 изд. Роберт И. Кабаков (2023)

 R – золотой стандарт, ежедневно используемый исследователями по всему миру для самых разных вычислений и статистического анализа данных. Этот свободно распространяемый язык с открытым исходным кодом включает огромное количество пакетов самой разной направленности, от расширенной визуализации данных до глубокого обучения. …

русский

R in Action. 3 Ed.. Robert I. Kabacoff (2022)

 R in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this …

english

R Packages. 2 Ed. Hadley Wickham, Jennifer Bryan (2023)

 Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development …

english

Advancing into Analytics: From Excel to Python and R. George Mount (2021)

 Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you …

english

Introduction to Data Science: Data Analysis and Prediction Algorithms with R. Rafael A. Irizarry (2019)

 Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop …

english

Практическая статистика для специалистов Data Science. 2 изд. Брюс Питер, Эндрю Брюс, Питер Гедек (2021)

 Книга рассчитана на специалистов в области Data Science, обладающих некоторым опытом работы с языком программирования R и имеющих предварительное понятие о математической статистике. В ней в удобной и легкодоступной форме представлены ключевые понятия из статистики, которые относятся к науке о …

русский

R for Data Science. 2 Ed. Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund (2023)

 Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R …

english

Introduction to Deep Learning Using R. Taweh Beysolow II (2017)

 It is assumed that all readers have at least an elementary understanding of statistical or computer programming, specifically with respect to the R programming language. Those who do not will find it much more difficult to follow the sections …

english

Mastering Parallel Programming with R. Chapple S., Troup E., Forster T., Sloan T. (2016)

 This book is for the intermediate to advanced-level R developer who wants to understand how to harness the power of parallel computing to perform long running computations and analyze large quantities of data. You will require a reasonable knowledge and …

english

Learn R for Applied Statistics. Hui E.G.M. (2019)

 This book is primarily targeted to programmers or learners who want to learn R programming for statistics. This book will cover using R programming for descriptive statistics, inferential statistics, regression analysis, and data visualizations.

In this book, you will use …

english