This book bridges the gap between theoretical mathematics and practical applications in AI. Whether you're aiming to develop practical skills for AI projects,... Læs mere
This book starts with discussions over how large language models are used in healthcare and the opportunities we have to change portions of the healthcare paradigm. There are amazing opportunities to save both time as a business unit as well as improve patient experiences.
This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and... Læs mere
IAU S368 addresses graduate students and professional astronomers who wish to leverage machine learning to unlock the potential of... Læs mere
This book presents machine learning applications in the field of engineering with a focus on deep... Læs mere
The book examines the application of machine learning to enhance resource allocation in IoT networks, with a... Læs mere
This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the... Læs mere
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data.
Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.
This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep... Læs mere