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A Guide to Applied Machine Learning for Biologists

  • Textbook
  • © 2023

Overview

Editors:
  1. Mohammad "Sufian" Badar

    1. Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST) Jamia Hamdard University, New Delhi, India, Senior Teaching Faculty (Former), Department of Bioengineering, University of California, Riverside, Riverside, USA

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  • Provides biology students with the knowledge in computer science and mathematics
  • Uses simple, comprehensive terms to explain all concepts
  • Will help the reader gain enough knowledge that they will be able to use principles of Machine

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About this book

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.

Keywords

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Basics of Modern Computer Systems

    • Hussam Bin Mehare, Jishnu Pillai Anilkumar, Ekbal Ahmed, Ali Al Qahtani
    Pages 1-26

  3. The Python Programming Language

    • Hussam Bin Mehare, Jishnu Pillai Anilkumar, Naushad Ahmad Usmani
    Pages 27-60

  4. Basic Mathematics

    • Hussam Bin Mehare, Jishnu Pillai Anilkumar, Iqbal Hasan
    Pages 61-103

  5. Introduction to the World of Bioinformatics

    • Sarbani Mishra, Sudiptee Das, Madhusmita Rout, Sanghamitra Pati, Ravindra Kumar, Budheswar Dehury
    Pages 105-126

  6. Introduction to Artificial Intelligence & ML

    • Sarath Panat, Ravindra Kumar
    Pages 127-146

  7. Fundamentals of Machine Learning

    • Joel Mathew Cherian, Ravindra Kumar
    Pages 147-174

  8. Applications in the Field of Bioinformatics

    • M. Parvez, Tahira Khan
    Pages 175-188

  9. Future Prospects

    • Hussam Bin Mehare, Jishnu Pillai Anilkumar, Mohammad “Sufian” Badar
    Pages 189-220

  10. Case Study 1: Human Emotion Detection

    • Mohammad “Sufian” Badar, Hussam Bin Mehare, Jishnu Pillai Anilkumar, Anubhav Roy, Mohammad Maksuf Ul Haque, Shazmeen Shamsi
    Pages 221-242

  11. Case Study 2: Brain Tumor Classification

    • Mohammad “Sufian” Badar, Hussam Bin Mehare, Jishnu Pillai Anilkumar, Khairol Amali bin Ahmad, Mohammad Rehan Badar
    Pages 243-255

  12. Correction to: A Guide to Applied Machine Learning for Biologists

    • Mohammad “Sufian” Badar
    Pages C1-C1

  13. Back Matter

    Pages 257-262
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Editors and Affiliations

  • Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST) Jamia Hamdard University, New Delhi, India, Senior Teaching Faculty (Former), Department of Bioengineering, University of California, Riverside, Riverside, USA

    Mohammad "Sufian" Badar

About the editor

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.

Bibliographic Information

  • Book Title: A Guide to Applied Machine Learning for Biologists

  • Editors: Mohammad "Sufian" Badar

  • DOI: https://doi.org/10.1007/978-3-031-22206-1

  • Publisher: Springer Cham

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-22205-4Published: 22 June 2023

  • Softcover ISBN: 978-3-031-22208-5Due: 03 September 2023

  • eBook ISBN: 978-3-031-22206-1Published: 21 June 2023

  • Edition Number: 1

  • Number of Pages: XIV, 262

  • Number of Illustrations: 4 b/w illustrations, 61 illustrations in colour

  • Topics: Bioinformatics, Life Sciences, general, Biotechnology, Microbiology

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