The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines.
This book presents revised selected papers from the 16th International... Læs mere
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
The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes... Læs mere
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and... Læs mere
This updated second edition describes the intuition behind deep learning innovations without jargon or complexity.... Læs mere
In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.