Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Lee masThis book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to ...
Lee masCovers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, ...
Lee masComprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in ...
Lee masThis open access book constitutes revised selected papers from the International Workshops held at the Third International ...
Lee masIt covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven ...
Lee mastarting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required ...
Lee masThis book cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic ...
Lee masA concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic ...
Lee masFocuses on a basic theoretical framework dealing with the problems, solutions, and applications of text mining and its various ...
Lee mas