This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory.
This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain.... Læs mere
This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques... Læs mere
A detailed overview of differential equations on graphs, suitable for researchers and... Læs mere
background: white;">This second edition provides an overview of the principal problems, approaches, and challenges in modeling the narrative... Læs mere
It is therefore essential for any scientist, especially life scientists, to have a basic understanding of deep learning, the statistical engine behind AI.This book explains the theory behind neural networks and their internal workings in clear terms and with numerous examples.
This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor’s and Grover’s) and state-of-the-art machine learning methods.
mso-fareast-language: EN-IN;">The first of the two volumes, the book highlights the multidisciplinary nature of data science in the fields of computer science, statistics, physics and economics.
The book is a practical and comprehensive guide to the impact of deep learning in the real world across sectors like healthcare, finance, and autonomous systems.... Læs mere
Furthermore, the book addresses the development of multimodal machine learning models for brain tumor prognosis, the identification of... Læs mere
This book presents a groundbreaking new mathematical paradigm and system (including inventing a new number) that enables a new approach to advancing the foundations of science and technology.