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)
| ISBN-13: | 9789811234057 |
| ISBN-10: | 9811234051 |
| Publisher: | World Scientific |
| Publication date: | 2021 |
| Pages: | 640 |
| Product dimensions: | Height: 9 Inches, Length: 6 Inches, Weight: 2.25 Pounds, Width: 1.38 Inches |
| Author: | Andreas Wichert, Luis Sa-Couto |
| Language: | en |
| Binding: | Hardcover |