A Guide to Applied Machine Learning for Biologists
Editat de Mohammad "Sufian" Badaren Limba Engleză Paperback – 22 iun 2024
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.
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Specificații
ISBN-13: 9783031222085
ISBN-10: 3031222083
Pagini: 262
Ilustrații: XIV, 262 p. 65 illus., 61 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.44 kg
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031222083
Pagini: 262
Ilustrații: XIV, 262 p. 65 illus., 61 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.44 kg
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Basics of Modern Computer Systems (Unix/Linux Centric).- The Python Programming Language ( A tool to enter the world of Machine Learning).- Basic Math.- Introduction to the World of Bioinformatics.- Introduction to Artificial Intelligence & ML.- Fundamentals of ML.- Applications in the field of Bioinformatics.- Case Studies and a Minor Project.- Future Prospects.- Further Readings.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
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