Machine Learning for Engineers
€ 90,90
Informação do Produto
| ISBN | 9781316512821 |
|---|---|
| Autores | Osvaldo Simeone |
| Editora | Cambridge University Press |
| Formato | Capa dura |
| Número de páginas | 450 |
| Peso (kg) | 1,608 |
| Data de Publicação | 03/11/2022 |
| Preço (iva excl.) | € 85,75 |
| Imposto | € 5,15 |
| Preço (iva inc.) | € 90,90 |
| Disponibilidade | 1 unidade em armazém externo |
Descrição do Produto
This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines.