Practical Weak Supervision: Doing More with Less Data

by Senja Filipi, Wee Hyong Tok, Amit Bahree

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.

You'll learn how to build natural language processing...

• Format: Paperback
• Language: English
• ISBN: 1492077062
• ISBN13: 9781492077060
• Release Date: November 2021
• Publisher: O'Reilly Media
• Length: 190 Pages
• Weight: 0.69 lbs.
• Dimensions: 0.4" x 7.0" x 9.2"