A Guide to Applied Machine Learning for Biologists

Mohammad Sufian Badar

ISBN 10: 3031222059 / ISBN 13: 9783031222054

Published by Springer, Springer, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783031222054

Bibliographic Details

• Title: A Guide to Applied Machine Learning for Biologists
• Publisher: Springer, Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031222059
• ISBN 13: 9783031222054
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 21D millimeters 241 millimeters width by 160 millimeters height by 21 millimeters depth
• Weight: 588 grams

About this title

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 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.