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(as of Aug 04, 2025 12:41:31 UTC – Details)
A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.
– Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning
– Equips with new data mining strategies an easy interface into the world of Artificial Intelligence
– Enables researchers to enhance their own sphere of researching Artificial Intelligence
ASIN : B0CTHNQ1NW
Publisher : Academic Press
Accessibility : Learn more
Publication date : February 29, 2024
Language : English
File size : 52.7 MB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 350 pages
ISBN-13 : 978-0443240003
Page Flip : Enabled
Best Sellers Rank: #1,678 in Molecular Biology (Books)