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Springer AI, Computation, and Data Science for Medicine Book

Amazon

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Description

Explore the intersection of technology and healthcare with Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science. Published by Springer, this volume is part of the Computational Biology series (Volume 31). As artificial intelligence becomes a standard part of research, this book addresses how effective computer algorithms can manage the complexity of machine learning within large datasets. It examines how computation reduces mental effort for complex problem solving by optimizing time and memory requirements. Additionally, the text explores the evolving discipline of data science, focusing on how it overcomes the limits of traditional skills to enable new scientific discoveries. This resource provides a deep look into how these technological advancements offer solutions to many problems in medicine and the life sciences.

Key Features

This Springer publication is part of the Computational Biology series, specifically volume 31.

The text examines how effective computer algorithms improve AI tools to handle complexity in machine learning.

Learn how computation can reduce mental effort when solving complex problems through improved time and memory requirements.

Explore the evolving discipline of data science and its role in enabling scientific discovery.

The content focuses on how AI and data science provide solutions to problems in medicine and life science research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 July 2022
Listed Since
16 June 2022

Barcode

No barcode data available

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