Deep R Programming by Marek Gagolewski (.PDF)

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File Size: 10 MB

Deep R Programming by Marek Gagolewski
Requirements: .PDF reader, 10 MB
Overview: Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for Data Science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and Machine Learning. R is not just a statistical package. It is a general-purpose, high-level programming language that happens to be very powerful for numerical, data-intense computing activities of any kind. It offers extensive support for statistical, Machine Learning, data analysis, data wrangling, and data visualisation applications, but there is much more. Our aim is to learn the fundamentals of base R, which constitutes the ligua franca for all R users. We want to be able to indite code that everybody should understand; code that will work without modifications ten years from now (no slang!). Some readers will benefit from its being their first introduction to R (yet, without all the pampering). For others, this will be a fine course from intermediate to advanced (do not skip the first chapters, though).
Genre: Non-Fiction > Tech & Devices

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