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- Understanding Machine Learning
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Toote nr:
16258219
Understanding Machine Learning
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Toote nr:
16258219
€ 62
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Toote üksikasjad
- Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.
| Publisher | Cambridge University Press |
| Publication date | July 17, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 414 pages |
| ISBN-10 | 1107057132 |
| ISBN-13 | 978-1107057135 |
| Item Weight | 2 pounds (910 grams) |
| Dimensions | 7.2 x 1.1 x 10.24 inches (18.3 x 2.8 x 26 cm) |
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Understanding Machine Learning
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