Linear Algebra and Its Applications with R
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Book Details
• Author: Yoshida, Ruriko
• Format: Hardcover
• Language: English
• ISBN-13: 9781032507033
• Publisher: TAYLOR AND FRANCIS BOOKS INDIA PRIVATE LIMITED
• Edition: 1st Edition
• Pages: 424
• Release Date: 01-12-2021
About The Book
Developed with a focus on data science and bioinformatics students, "Linear Algebra for Data Science and Bioinformatics" by Ruriko Yoshida bridges the gap between traditional linear algebra and its applications in applied sciences. The book addresses the common misconception among students that linear algebra is disconnected from real-world applications, especially in fields like data science and bioinformatics. Yoshida offers a blend of theoretical lessons with practical exercises, providing a comprehensive learning experience for students.
The book not only covers essential topics from traditional linear algebra courses but also integrates lab exercises that use simulated and empirical data sets. It helps students apply the concepts of linear algebra using R and Python, ensuring that they can tackle real-world problems. Starting with simple computational tasks like calculating determinants, the book gradually progresses to more complex applications in applied sciences, all while teaching students how to use R effectively.
With 424 pages of clear explanations, working examples, and computational exercises, this book equips students with the tools and knowledge necessary to solve problems in data science and bioinformatics.


