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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MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: with Exercises and Answers
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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MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: with Exercises and Answers
640
MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: with Exercises and Answers
640Related collections and offers
134.0
In Stock
Product Details
| ISBN-13: | 9789811234071 |
|---|---|
| Publisher: | World Scientific Publishing Company, Incorporated |
| Publication date: | 01/26/2021 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 640 |
| File size: | 24 MB |
| Note: | This product may take a few minutes to download. |
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