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.
Publisher: O'Reilly Media, Inc, USA Author(s): Senja Filipi Number of pages: 200 Publication date: 2021 Dimensions: 177 x 233 x 15 Cover type: Paperback / softback.
| Publisher | Oreilly |
|---|---|
| Author(s) | Senja |
| Number of pages | 200 |
| Publication date | 2021 |
| Dimensions | 177 x 233 x 15 |
| Cover type | Paperback softback |
O'reilly Media, Inc, Usa Practical weak supervision. doing more with less data, paperback/senja filipi
