Résumé
A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation systems, face recognition, and driverless cars.
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition-as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning-the foundation of efforts to process that data into knowledge-has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.
Alpaydin offers an account of how
L'auteur - ETHEM ALPAYDIN
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | The MIT Press |
| Auteur(s) | ETHEM ALPAYDIN |
| Parution | 07/10/2016 |
| Nb. de pages | 224 |
| Couverture | Broché |
| Intérieur | Noir et Blanc |
| EAN13 | 9780262529518 |
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