This book provides an ideal reference to all the medical imaging researchers and professionals to explore their innovative methods and analysis on imaging technologies for better prospective of patient care.
This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth... Læs mere
Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial... Læs mere
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color... Læs mere
It starts by introducing the basic mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics,... Læs mere
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
The aim of the book is to give an interpretation of ML tools through the lens of factor investing. Concepts illustrated with examples on the same (public) dataset throughout the book. Provides code samples and the corresponding results so that anybody can reproduce the steps.
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites.... Læs mere