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

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
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Author (1)
Liu Peng
Liu Peng
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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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Part 2:Fundamentals of Linear Algebra and Calculus in R

As we venture into the second part of this book, we aim to deepen your understanding of the mathematical foundations underpinning the data science field. While the first part laid the groundwork with statistics essentials and R programming basics, this section elevates your skill set by delving into the more intricate aspects of linear algebra and calculus, all illustrated through R implementations.

By the end of this part, you’ll have a well-rounded understanding of the mathematical foundations crucial for advanced data science studies. This part of the book will give you the advanced mathematical and computational tools you need to engage with further advanced topics in statistics and machine learning.

This part has the following chapters:

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Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305
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Author (1)

author image
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