£96.71

Springer Computational Learning Theories - AI Models Book

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£107.97 £95.58 £98.29 £100.99 £103.69 £106.39 £109.10 13 March 2026 24 March 2026 05 April 2026 16 April 2026 28 April 2026

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Description

Explore the foundational principles of machine intelligence with Computational Learning Theories: Models for Artificial Intelligence Promoting Learning Processes. Part of the Advances in Analytics for Learning and Teaching series, this Springer publication provides a deep look into the models that drive modern artificial intelligence. This book is designed for readers interested in the intersection of mathematics, science, and education. By focusing on the theoretical frameworks that support learning processes, it offers a structured approach to understanding how AI systems can be developed to enhance educational and analytical outcomes. Whether you are researching advanced analytics or studying the mechanics of automated learning, this text serves as a dedicated resource within the science and mathematics academic field.

Key Features

Part of the Advances in Analytics for Learning and Teaching series for academic depth.

Focuses on computational models used to promote learning processes in AI.

Published by Springer, a recognized leader in scientific and technical literature.

Provides theoretical insights into artificial intelligence and machine learning models.

Categorized under science, nature, and mathematics for specialized study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 July 2024
Listed Since
11 June 2024

Barcode

No barcode data available

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