Practical Weak Supervision: Doing More with Less Data by Wee Hyong Tok, Amit Bahree, Senja Filipi
English | October 26th, 2021 | ISBN: 1492077062 | 192 pages | True EPUB | 6.92 MB
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, leaving many companies with unfinished ML projects. 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.