This book is the inaugural volume in the new Springer series on Learning and Analytics in
Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on …

The book at hand constitutes the inaugural volume in the new Springer series on Learning
and Analytics in Intelligent Systems. The series aims at making available a publication of …

At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives
towards dramatic changes in our daily lives, the workplace and human relationships …

Applications for Machine Learning [Editorial] | IEEE Journals & Magazine | IEEE Xplore
Applications for Machine Learning [Editorial] Abstract: In this issue of IEEE Systems, Man …

Machine learning techniques have the potential of alleviating the complexity of knowledge
acquisition. This book presents today's state and development tendencies of machine …

A warm welcome to you all to our 13th International Conference on Machine Learning and
Cybernetics (ICMLC 2014) in Lanzhou. Since its inception in 2002, ICMLC has established …

The purpose of this book is to provide an up-to-date and systematical introduction to the
principles and algorithms of machine learning. The definition of learning is broad enough to …

Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the
core topics required for study in machine learning curricula included in university and …

Abstract Machine learning addresses the question of how to build computers that improve
automatically through experience. It is one of today's most rapidly growing technical fields …

The volume of data that is generated, stored, and communicated across different industrial
sections, business units, and scientific research communities has been rapidly expanding …