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Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines.
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines.
This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed... Læs mere
This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
This book explores how algorithmic prediction tools transform police work. Building on the growing literature at the intersection of... Læs mere
Crypto-Finance, Law and Regulation investigates whether crypto-finance will cause a paradigm shift in regulation from a centralised model to a model based on distributed consensus.
This book explores the application of algorithms to such methods as automatic simplification, polynomial decomposition, and polynomial... Læs mere
Emphasizing the search for patterns within and between biological sequences, trees, and graphs, this book shows how... Læs mere
This book presents a detailed exploration of adaption and implementation of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book includes all aspects of blockchain with a complete 360-degree view spectrum.
Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the Big Data phenomenon.