Metaheuristics in Machine Learning Theory and Applications
Free Download Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
[/b]
Links are Interchangeable - Single Extraction
Free Metaheuristics in Machine Learning Theory and Applications, Downloads Metaheuristics in Machine Learning Theory and Applications, Rapidgator Metaheuristics in Machine Learning Theory and Applications, Mega Metaheuristics in Machine Learning Theory and Applications, Torrent Metaheuristics in Machine Learning Theory and Applications, Google Drive Metaheuristics in Machine Learning Theory and Applications. Feel free to post comments, reviews, or suggestions about Metaheuristics in Machine Learning Theory and Applications including tutorials, audio books, software, videos, patches, and more.