Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under... Læs mere
The book takes a step-by-step approach to designing and developing various tools for surgeon computer interfaces using the conventional... Læs mere
This handbook provides a complete overview of the concepts, theories, algorithms, and applications... Læs mere
This practical book explains the value of observable systems and shows you how to practice observability-driven development.
Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a... Læs mere
Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The book is ideal for researchers who are working in the domain of cloud computing.
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. Part III: ADS data science applications;
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. Part III: ADS data science applications;
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed... Læs mere