… machine learning with a view towards presenting useful criteria for classifying and comparing
most artificial intelligence-based machine learning … research in machine learning over the …

… This book presents a taxonomic analysis of machine learning organized primarily by learning
… in the field of artificial intelligence. The classifications of machine learning systems are: …

… The major contemporary research directions in machine learning covered in this book
include: learning from examples, modeling human learning strategies, knowledge acquisition for …

… having to wade through tons of spam email, that's also a learning algorithm. In this paper, a
brief review and future prospect of the vast applications of machine learning has been made. …

… review covers the vast field of machine learning (ML), and relates to weak artificial intelligence…
It includes the taxonomy of ML algorithms, setup diagram of machine learning methods, …

… She has over 16 years of teaching and research experience using artificial intelligence,
machine learning, Bayesian networks, and causal learning to model and solve problems in …

… In about 30 new pages, I report mainly on deep learning, a … In the new section on Deep
Learning, we must not leave out … on neural networks and machine learning. Practical AI has …

… In fact, with the introduction of the Industry 4.0, artificial intelligence and machine learning
are considered the driving force of smart factory revolution. The purpose of this review was to …

… This review provides definitions and basic knowledge of machine … artificial intelligence
(AI) and machine learning (ML). Artificial intelligence is the capability for machines to imitate …

… machine learning covered in this book include: learning from examples, modeling human
learning … for classifying and comparing learning systems, we turn to a brief historical outline of …