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Autore: |
De Brouwer Philippe J. S.
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Titolo: |
The big R-book : from data science to learning machines and big data / / Philippe J. S. De Brouwer
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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 |