A Guide to Applied Machine Learning for Biologists - Softcover

Softcover

ISBN 10: 3031222083 ISBN 13: 9783031222085

Publisher: Springer, 2024

Synopsis

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. 

This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.

About this title

About the Author

Mohammad Sufian Badar has an MS in Molecular Science & Nanotechnology, and PhD in Engineering from Louisiana Tech University, Ruston, LA, USA,  and was Senior Teaching Faculty (equivalent to Associate Professor) in the Department of Bioengineering at the University of California in Riverside, California, USA. Dr. Sufian was born and raised in Nazra, Madhubani, Bihar, India.

From the Back Cover

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. 

This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 3031222083
• ISBN 13: 9783031222085
• Binding: Paperback
• Number of pages: 276
• Editor: Badar Mohammad "Sufian"