£96.00

CRC Press - Artificial Intelligence Technologies for Computational Biology

Name: CRC Press - Artificial Intelligence Technologies for Computational Biology
Brand: CRC Press
Price: 96.0 GBP
Availability: InStock

AI & Machine Learning

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Description

Explore the intersection of advanced computing and biological sciences with Artificial Intelligence Technologies for Computational Biology. Published by CRC Press, this specialized text is designed for readers interested in the application of computer science principles within the biological domain. As technology evolves, the integration of artificial intelligence into computational biology becomes more significant for researchers and students. This book provides a focused look at how these technologies function within the field of computer science and architecture. It serves as a valuable resource for those studying the technical foundations required to process complex biological data through modern computing methods. Whether you are a student or a professional in the computing and internet sector, this publication offers a structured approach to understanding how AI-driven architectures support biological research. Enhance your technical library with this professional resource from CRC Press.

Key Features

Published by CRC Press to ensure professional standards for academic and technical reading.

Focuses on the intersection of artificial intelligence and computational biology for specialized study.

Categorized under computer science and architecture for targeted learning in high-tech fields.

Provides a technical foundation for understanding computing technologies applied to biological data.

Designed for readers interested in computer science, microprocessors, and advanced architecture.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1032160004
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 10 November 2022
Listed Since: 11 May 2022

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CRC Press - Artificial Intelligence Technologies for Computational Biology

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