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| Autore: |
De Brouwer Philippe J. S.
|
| Titolo: |
The big R-book : from data science to learning machines and big data / / Philippe J. S. De Brouwer
|
| Pubblicazione: | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2021 |
| Descrizione fisica: | 1 online resource (931 pages) |
| Disciplina: | 519.502855133 |
| Soggetto topico: | R (Computer program language) |
| Sommario/riassunto: | "This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"-- |
| Titolo autorizzato: | The big R-book ![]() |
| ISBN: | 1-119-63277-3 |
| 1-119-63276-5 | |
| 1-119-63275-7 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910830474803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |