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This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including... Læs mere
This book primarily focuses on providing deep insight into the concepts of network security, network forensics, botnet forensics, ethics and incident response in... Læs mere
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by... Læs mere
The global adoption of technology in education is transforming the way we teach and learn. Artificial Intelligence is one of the... Læs mere
Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture... Læs mere
This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts:... Læs mere
The book follows a medical cyber-physical systems' paradigm to handle the dimensionality conundrum stemming from image acquisition, image modality/resolution/representation, subspace decomposition, compressed sensing, and communications constraints.
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial... Læs mere
Artificial intelligence and digital engineering have become prevalent in business,... Læs mere
People want to create a better world and planet; however, where and how to start remains the question. This book uses the Systems... Læs mere
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.
Life's context is uncertain environmental information, communication is its means, and genes are its tools. Evolution is its yield as continuous non-random self-referential cellular problem-solving.