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Practical Weak Supervision /

Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Se...

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Detalles Bibliográficos
Autores principales: Tok, Wee (Autor), Bahree, Amit (Autor), Filipi, Senja (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: O'Reilly Media, Inc., 2021.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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