Events - Future, Trends, Perspectives
- Artificial intelligence will change our lives permanently - both at work and in our private lives. But how does machine learning actually work? The authors explore this question in their English-language textbook. They teach the necessary basics for the use of support vector machines, for example, through linear programming, the Lagrange multiplier, kernels and the SMO algorithm. They also cover neural networks, evolutionary algorithms, and Bayesian networks. Definitions are highlighted in the book and assignments invite readers to think along. The textbook is aimed at students of computer science, engineering and natural sciences, especially in the fields of robotics, artificial intelligence, and mathematics.
| Author: | Kim WernerORCiD, Ye Ding |
|---|---|
| Title (English): | Events - Future, Trends, Perspectives |
| DOI: | https://doi.org/10.36198/9783838552538 |
| ISBN: | 9783825252533 |
| Publisher: | UVK Verlag |
| Place of publication: | Stuttgart |
| Document Type: | Book |
| Language: | English |
| Year of Completion: | 2020 |
| electronic ID: | Zur Anzeige in scinos |
| Release Date: | 2022/08/24 |
| Page Number: | 225 |
| Note: | Zugriff im Hochschulnetz |
| Faculties: | Fakultät WiSo |
| DDC classes: | 300 Sozialwissenschaften / 330 Wirtschaft |
| Review Status: | Veröffentlichte Fassung/Verlagsversion |