You're reading from The Statistics and Machine Learning with R Workshop

Product typeBook

Published inOct 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781803240305

Edition1st Edition

Languages

Concepts

Machine Learning

Author (1)

Liu Peng

To get the most out of this book

To get the most out of this book, it’s advisable to have a basic understanding of programming, ideally in R, although a strong foundation in any programming language should suffice. Familiarity with elementary statistics and mathematical concepts will also be beneficial, as the book delves into statistical methods and mathematical models. While the book is structured to guide you from foundational to advanced topics, prior exposure to data analysis techniques will enhance your learning experience. If you’re new to R, you may want to spend some extra time on the initial chapters to become comfortable with the programming environment and syntax.

Software covered in the book	Operating system requirements
R	Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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The Statistics and Machine Learning with R Workshop

Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305

Author (1)

Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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