Springer, 2025, — 189 p. — (Engineering Optimization: Methods and Applications). — ISBN 978-981-96-3848-2. This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy,...
Springer, 2025. — 189 p. — (Engineering Optimization: Methods and Applications). — ISBN 978-981-96-3848-2. This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy,...
Manning Publications Co., 2025. — 520 p. — ISBN 978-1633439917. Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely...
Manning Publications Co., 2025. — 520 p. — ISBN 978-1633439917. Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely...
Manning Publications Co., 2025. — 520 p. — ISBN 978-1633439917. Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely...
Berlin: de Gruyter, 2025. — 212 p. Mathematical optimization and Machine Learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel...
Springer, 2025. — 150 p. This book addresses the critical challenge of limited training data in deep learning for computer vision by exploring and evaluating various image augmentation techniques, with a particular emphasis on deep learning-based methods.
Springer, 2025. — 199 p. — (Studies in Big Data 12). — ISBN 978-981-96-3497-2. This book describes novel ways of using Deep Learning to solve real-world problems. It covers advanced Deep Learning topics like neural architecture search, ensemble Deep Learning, transfer learning techniques, lightweight architectures, hybrid Deep Learning approaches, and generative adversarial...
Springer, 2025. — 199 p. — (Studies in Big Data 12). — ISBN 978-981-96-3497-2. This book describes novel ways of using Deep Learning to solve real-world problems. It covers advanced Deep Learning topics like neural architecture search, ensemble Deep Learning, transfer learning techniques, lightweight architectures, hybrid Deep Learning approaches, and generative adversarial...
Springer, 2025. — 261 p. — (Transactions on Computer Systems and Networks). — ISBN 978-981-97-9913-8. This book covers all aspects of Machine Learning (ML) from concepts and math to ML programming. ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms...
Springer, 2025. - 260 p. - (Transactions on Computer Systems and Networks). - ISBN 9819799139. This book covers all aspects of machine learning (ML) from concepts and math to ML programming . ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms precisely as...
Reactive Publishing, 2024. — 769 p. — ISBN, ASIN, ISSN: B0CRQV8B8B. This magnum opus isn't just a guide; it's your cipher to decode the enigmas of financial data science. Perfect for the finance maverick hungry for the acumen that only machine learning can provide, our tome is a beacon in the complex sea of algorithms and data strategies, illuminating the path to financial...
2nd Edition. – Springer, — 2025. — 471 p. — ISBN 978-3-031-72816-7. This second edition of the book that targets those in computer algebra and Artificial Intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in machine learning where mostly, stochastic global methods are used as well as ChatGPT, a novel and in the last...
Springer, 2025. — 407 p. This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e?cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens...