Faithin Omaha eBook Collection

Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter R