Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the... Læs mere
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
‘Machine Learning for Knowledge Discovery with R’ contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes most recent supervised and unsupervised machine learning methodologies
This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers... Læs mere
Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature... Læs mere
This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.
Support Vector Machines are now established as one of the standard tools for machine learning and data mining. Students... Læs mere
Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important grounding for... Læs mere
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine... Læs mere