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Springer AI and Visualization for Visual Knowledge Discovery

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Description

This Springer publication explores the emerging field of integrated visual knowledge discovery. It addresses the critical intersection of artificial intelligence, machine learning, and visual analytics. As deep learning models become more complex, explaining these models to humans is a major challenge, especially in life-critical sectors like health care. Because model explanation is a fundamentally human activity rather than a purely algorithmic one, this book highlights why visual methods are necessary to address these challenges. Part of the Studies in Computational Intelligence series (1014), this work provides essential insights for those studying the integration of AI and visualization techniques.

Key Features

This book is part of the Studies in Computational Intelligence series, volume 1014.

The text covers the integration of artificial intelligence and machine learning with visual analytics.

It addresses the challenge of explaining AI models to humans in life-critical applications like health care.

The content focuses on how deep learning studies make visual methods important for model explanation.

Published by Springer, this work serves the field of integrated visual knowledge discovery.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 June 2023
Listed Since
10 May 2023

Barcode

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