Machine learning books

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system...  Read More >>

Explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence, and...  Read More >>

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world...  Read More >>

This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering...  Read More >>

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th...  Read More >>

Explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence, and...  Read More >>

Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines...  Read More >>

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge...  Read More >>

This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key...  Read More >>

 Read More >>

This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of...  Read More >>

This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers...  Read More >>

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python...  Read More >>

This book constitutes revised selected papers from the refereed proceedings of the 11th International Conference...  Read More >>

This book offers an introduction into quantum machine learning research, covering approaches that range from ""near-term""...  Read More >>

This book describes new theories and applications of artificial neural networks, with a special focus on answering...  Read More >>

This book on Gradient Boosting methods is intended for students, academics, engineers, and data scientists who wish...  Read More >>

Explore the cosmic secrets of Distributed Processing for Deep Learning applications. KEY FEATURES ●In-depth...  Read More >>

 Read More >>

The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource...  Read More >>

 Read More >>

It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning...  Read More >>

Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic...  Read More >>

"""This book examines current, state-of-the-art research in the areas of data science, machine learning, data mining,...  Read More >>

"""This book examines current, state-of-the-art research in the areas of data science, machine learning, data mining,...  Read More >>