£121.64

Springer - Metaheuristics for Machine Learning Book

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Description

Expand your knowledge of computational intelligence with Metaheuristics for Machine Learning: New Advances and Tools. Published by Springer as part of the Computational Intelligence Methods and Applications series, this book addresses modern developments in the field of AI and machine learning. This text is designed for readers interested in how metaheuristic algorithms can be applied to improve machine learning processes. It provides a look at new tools and advancements that help solve complex computational problems. By focusing on the intersection of these two major fields, the book serves as a specialized resource for those studying or working within computer science and artificial intelligence. Whether you are looking to understand the latest trends in computational methods or seeking a deeper look at machine learning tools, this Springer publication offers a structured approach to these technical subjects. It is an essential addition to any library focused on computer science, AI, and the evolving landscape of machine learning technology.

Key Features

Part of the Springer Computational Intelligence Methods and Applications series for specialized academic study.

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

Provides technical content regarding computational intelligence methods for AI research.

A professional resource for computer science students and machine learning practitioners.

Covers modern developments in the application of metaheuristic algorithms to machine learning tasks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 March 2024
Listed Since
17 February 2024

Barcode

No barcode data available

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