Machine Learning : Journey to Deep Learning
- London : World Scientific, 2024.
- xvi, 624p. : ill. ; 23 cm.
Includes bibliography and index.
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.
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Machine learning. Probability. Deep learning Linear Algebra. Perceptron.