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\nMost 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...
tovább
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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 leírás elrejtése- Kiadó: O'Reilly Media, Inc, USA
- Kód:
- Kiadás éve: 2021
- Nyelv: Angol
- Kötés: Puha kötésű
- Oldalak száma: 200
- Csomag szélessége: 23.3 cm
- Csomag magassága: 17.7 cm
- Csomag mélysége: 1.5 cm
Recenzió