Название: Modern Data Science with R Автор: Benjamin Baumer, Daniel Kaplan, Nicholas Horton Издательство: CRC Год: 2017 Страниц: 582 Формат: PDF Размер: 88 Mb Язык: English
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.
Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.
Statistics for Data Science Название: Statistics for Data Science Автор: James D. Miller Издательство: Packt Publishing Год: 2017 Формат: PDF Размер: 3 Мб Язык: английский /...
Beginning Data Science in R Название: Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist Автор: Thomas Mailund Издательство: Apress...
The Data Science Handbook Название: The Data Science Handbook Автор: Field Cady Издательство: Wiley Год: 2017 Страниц: 416 Формат: PDF Размер: 11 Mb Язык: English A...
Algorithms for Data Science Название: Algorithms for Data Science Автор: Brian Steele Издательство: Springer Год: 2017 Страниц: 448 Формат: PDF Размер: 10 Mb Язык: English This...
Навигация
Вход на сайт
Реклама
Modern Data Science with R 
