Machine Learning

MATHEMATICS FOR INFORMATION TECHNOLOGY 1E delivers easy-to-understand and balanced mathematical instruction. Each chapter begins with an applicatio...

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This m...

This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up...

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine lea...

Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, im...

This book gathers the proceedings of the 11th International Conference on E-Health and Bioengineering, EHB 2023, held in hybrid form on November 91...

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context o...

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehe...

This book is a study of modern Bengali words based on the data obtained from a corpus of written texts. The author has used all kinds of data, info...

This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held on Dece...

This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of t...

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predict...

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the...

Federated Learning is currently an emerging technology in the field of machine learning. Federated Learning is a structure which trains a centraliz...

METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive gui...