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A Guide to Applied Machine Learning for Biologists

A Guide to Applied Machine Learning for Biologists

Paperback (22 Jun 2024)

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Publisher's 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.

Book information

ISBN: 9783031222085
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
DEWEY: 570.285631
DEWEY edition: 23
Language: English
Number of pages: 262
Weight: 438g
Height: 232mm
Width: 155mm
Spine width: 19mm