Description
| Product ID: | 9783030967550 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Machine Learning for Computer Scientists and Data Analysts |
| Subtitle: | From an Applied Perspective |
| Authors: | Author: Houman Homayoun, Zhiqian Chen, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao |
| Page Count: | 458 |
| Subjects: | Cybernetics and systems theory, Cybernetics & systems theory, Electronics engineering, Electronics: circuits and components, Machine learning, Electronics engineering, Circuits & components, Machine learning |
| Description: | Select Guide Rating This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. |
| Imprint Name: | Springer Nature Switzerland AG |
| Publisher Name: | Springer Nature Switzerland AG |
| Country of Publication: | GB |
| Publishing Date: | 2022-07-10 |
