Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases. It demonstrates how to calculate these metrics to compare t...Lasīt vairāk
While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This b...Lasīt vairāk
Computational techniques for image reconstruction problems enable imaging technologies including high-resolution microscopy, astronomy and seismology, computed tomography, and magnetic resonance imaging. Until recently, methods for solving such inver...Lasīt vairāk
(Izdošanas datums: 30-Apr-2025, Hardback, Izdevniecība: Oxford University Press, ISBN-13: 9780198947172)
This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusses robustness aspects, how to evaluate and test...Lasīt vairāk
Kwangkyu Alex Yoo, Omar Bacarreza Nogales, M H Ferri Aliabadi
Sērija : Computational and Experimental Methods in Structures
(Izdošanas datums: 11-Apr-2025, Hardback, Izdevniecība: World Scientific Europe Ltd, ISBN-13: 9781800616844)
This book introduces an innovative approach to multi-fidelity probabilistic optimisation for aircraft composite structures, addressing the challenge of balancing reliability with computational cost. Probabilistic optimisation pursues statistically r...Lasīt vairāk
Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and de...Lasīt vairāk
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable. This book is valuable for students across disciplin...Lasīt vairāk
This book titled Farm Animals: Leveraging Machine Learning for Intelligent Insights with scikit-learn and pyTorch example is a comprehensive guide for both beginners and experts in the fields of machine learning and animal behavior. It explores th...Lasīt vairāk
Get a detailed introduction to quantum computing and quantum machine learning, with a focus on finance-related applications Key Features Find out how quantum algorithms enhance financial modeling and decision-making Improve you...Lasīt vairāk
Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical s...Lasīt vairāk
Business Analytics: Solving Business Problems with R offers a practical, hands-on introduction to analytical methods, including machine learning, in real-world business scenarios. Connecting business decisions and analytical...Lasīt vairāk
This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models...Lasīt vairāk
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the...Lasīt vairāk
Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques...Lasīt vairāk
(Izdošanas datums: 30-Jun-2024, Paperback / softback, Izdevniecība: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611977899)
Covers the latest advances in machine-learning methods for asset management and asset pricing. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative....Lasīt vairāk
