A BiologistÄËs Guide to Artificial Intelligence

Building the foundations of Artificial Intelligence and Machine Learni

By: J Bashir (Editor, Editor), Nazir A, BVSc, MVSc, PhD, PDF Ganai (Editor), Hamadani, B.V.Sc. & A.H., M.V.Sc., PhD Henna (Editor)

Write A Review

Paperback | 5 March 2024 | Edition Number 1

At a Glance

Paperback
368 Pages

Dimensions(cm)
24.13 x 17.78 x 1.91

Paperback

RRP $334.95

$297.75

11%OFF

or 4 interest-free payments of $74.44 with

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $49.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.