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:

• Chapter 7, Linear Algebra in R
• Chapter 8, Intermediate Linear Algebra in R
• Chapter 9, Calculus in R