Alexander M. Dalzell, Aleksander Kubica, Sam McArdle, Mario Berta, Przemyslaw Bienias, Chi-Fang Chen, András Gilyén, Connor T. Hann, Michael J. Kastoryano, Emil T. Khabiboulline...
Award-winning mathematician Noah Giansiracusa explains how the rich and powerful use formulas to get ahead-and how the rest of us can use these same formulas in our everyday lives to make better decisions, act in our own best interests, and thrive-...Loe edasi...
The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly e...Loe edasi...
Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems.Models and Algorithms for Unsupervised Learn...Loe edasi...
(Ilmumisaeg: 30-Jun-2025, Hardback, Kirjastus: The University of Alabama Press, ISBN-13: 9780817322212)
Illuminates how algorithms, intertwined with human biases, damage political discourse and civic engagementAlgorithmic Worldmaking is an urgent exploration of the dynamic relationship between algorithms that encode their...Loe edasi...
The text comprehensively discusses tracking architecture under stochastic and deterministic frameworks and presents experimental results under each framework with qualitative and quantitative analysis. It covers deep learning techniques for featur...Loe edasi...
(Ilmumisaeg: 19-Jun-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009475525)
It is a curious fact that even notoriously difficult computational problems can be expressed in the form of a high-dimensional Venn diagram, where solutions lie in the overlap of a pair of remarkably simple sets, A and B. The simplicity of these sets...Loe edasi...
This new edition expands and revises the book throughout, with new material added to existing chapters, including short case studies, as well as adding new chapters on explainable AI, and big data. An authoritative and accessible o...Loe edasi...
An authoritative and accessible one-stop resource, the first edition of An Introduction to Artificial Intelligence presented one of the first comprehensive examinations of AI. Designed to provide an understanding of the foundations of artif...Loe edasi...
The text provides practical guidance to implement nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature-inspired metaheuristic algorithms have the potential...Loe edasi...
This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores ho...Loe edasi...
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in aut...Loe edasi...
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, a...Loe edasi...
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, a...Loe edasi...
Fatigue Prediction for Random Loads serves as a comprehensive treatise for methods for fatigue estimation and fatigue life prediction in randomly excited structural systems using the rainflow cycle counting method. Fa...Loe edasi...
(Ilmumisaeg: 20-May-2025, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262553179)
A simple, enduring framework for understanding the complex world of AI and machine learning-- A simple, enduring framework for understanding the complex world of AI and machine learning—updated with a new preface.As the capab...Loe edasi...
Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and...Loe edasi...
Sebastiano Boscarino, Lorenzo Pareschi, Giovanni Russo
Sari: Mathematical Modeling and Computation
(Ilmumisaeg: 30-Apr-2025, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978193)
Implicit-explicit (IMEX) time discretization methods have proven to be highly effective for the numerical solution of a wide class of evolutionary partial differential equations (PDEs) across various contexts. These methods have become mainstream fo...Loe edasi...
