{"product_id":"metaheuristics-for-machine-learning-new-advances-and-tools-9789811938870","title":"Metaheuristics for Machine Learning: New Advances and Tools","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eMetaheuristics have been successfully integrated into machine learning techniques, improving their performance in supervised and unsupervised problems. This book explores how metaheuristics can be adapted to enhance machine learning tools and provides real-world applications in clustering, big data, machine health monitoring, underwater sonar targets, and banking. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 223 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 14 March 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe integration of metaheuristics with machine learning techniques has gained significant attention in recent years, resulting in remarkable successes across supervised and unsupervised problem domains. Metaheuristics, which involve the use of intelligent search strategies to solve complex problems, have proven to be powerful tools for optimizing machine learning algorithms. One of the most exciting developments in this field is the automatic generation of programs through metaheuristics, known as evolutionary computation and swarm intelligence. This approach has gained widespread popularity due to its ability to generate optimized solutions efficiently and effectively.\u003cbr\u003e\u003cbr\u003eThis book delves into various approaches for integrating metaheuristics into machine learning techniques, offering a comprehensive theoretical and practical understanding. It explores how metaheuristics can be tailored to enhance machine learning tools and provides an overview of the primary metaheuristic programming methods. Furthermore, real-world applications are presented to illustrate the practical implications of metaheuristics, including clustering, big data analysis, machine health monitoring, underwater sonar target detection, and banking.\u003cbr\u003e\u003cbr\u003eBy leveraging the strengths of metaheuristics, machine learning algorithms can be improved, leading to more accurate predictions, efficient optimization, and better decision-making processes. This book serves as a valuable resource for researchers, practitioners, and students interested in advancing the field of machine learning and applying metaheuristics to solve complex real-world problems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 530g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789811938870\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44304030302458,"sku":"9789811938870","price":124.94,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_a18f0995-9a1b-4f2f-9698-8241a66f76fd.jpg?v=1688021051","url":"https:\/\/shulphink.com\/products\/metaheuristics-for-machine-learning-new-advances-and-tools-9789811938870","provider":"Shulph Ink","version":"1.0","type":"link"}