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Springer Metaheuristics for Machine Learning Book

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Description

Expand your knowledge in the field of artificial intelligence with Metaheuristics for Machine Learning: New Advances and Tools. Part of the Computational Intelligence Methods and Applications series, this book from Springer provides a focused look at modern computational techniques. This resource is designed for those studying or working within computer science, specifically focusing on AI and machine learning applications. By exploring new advances and tools, readers can better understand the evolving landscape of computational intelligence. Whether you are a student or a professional in the computing and internet sector, this text serves as a specialized addition to your academic or technical library. The content is structured to support deep learning in machine learning methodologies through the lens of metaheuristic approaches.

Key Features

Part of the respected Computational Intelligence Methods and Applications series from Springer.

Focuses on new advances and tools within the field of machine learning.

Targeted specifically for computer science and AI research applications.

Provides technical insights into metaheuristic computational intelligence methods.

A professional resource for the computing and internet subject category.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 March 2023
Listed Since
10 May 2022

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No barcode data available

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