Machine Learning

Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressin...

Deep learning from the ground up using R and the powerful Keras library! In   Deep Learning with R, Second Edition  you will learn: ...

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industr...

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed...

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate cours...

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Wri...

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, ...

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and doma...

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters a...

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced a...

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona,...

Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With thi...

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, ...

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundatio...

ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian...

Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, ...

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimens...

This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algori...

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad resear...