This unique compendium discusses some core ideas for the
development and implementation of machine learning from three
different perspectives - the statistical perspective, the
artificial neural network perspective and the deep learning
methodology.The useful reference text represents a solid foundation
in machine learning and should prepare readers to apply and
understand machine learning algorithms as well as to invent new
machine learning methods. It tells a story outgoing from a
perceptron to deep learning highlighted with concrete examples,
including exercises and answers for the students.Related Link(s)
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