This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Co

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis o

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn t

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various