Practical Weak Supervision
1609 Kč 1 915 Kč
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive. There\'s a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.
\n| Autor: | Salvaris, Mathew; Dean, Danielle; Tok, Wee Hyong |
| Nakladatel: | O'Reilly Media, Inc, USA |
| ISBN: | 9781492077060 |
| Rok vydání: | 2021 |
| Jazyk : | Angličtina |
| Vazba: | Měkká |
| Počet stran: | 200 |
