£121.64

Springer - Machine Learning and Metaheuristics Book

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Description

Expand your knowledge of intelligent systems with Machine Learning and Metaheuristics: Methods and Analysis. Published by Springer as part of the Algorithms for Intelligent Systems series, this book provides a focused look at the intersection of machine learning and metaheuristic methods. It is a professional resource designed for those studying or working within the fields of computer science and artificial intelligence. This text serves as a technical guide for understanding how various algorithms function and how they can be analyzed for practical application. By exploring these methods, readers gain a deeper understanding of the computational frameworks that drive modern intelligent systems. Whether you are a student or a researcher, this volume offers a structured approach to the complex topics within the computing and internet domain. This book is an essential addition to any academic or professional library focused on the advancement of AI and machine learning technologies.

Key Features

Part of the Algorithms for Intelligent Systems series from Springer.

Focuses on the technical analysis of machine learning and metaheuristic methods.

Provides a specialized resource for the study of intelligent systems.

Designed for readers interested in computer science and AI research.

Offers a structured look at algorithmic methods and analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 November 2023
Listed Since
22 August 2023

Barcode

No barcode data available

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