Tok, Wee Hyong <br/><br/>
Practical weak supervision   doing more with less data 
/Wee Hyong Tok 
 - 1st ed. 
 - Sebastopol, CA   O'Reilly Media  c2022 
 - xvii, 169 p.   ill.  23 cm. 
<br/><br/> Reprint, 2021 
<br/><br/>Includes index 
<br/><br/> 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, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models.  
<br/><br/><label>ISBN: </label>9789355420435 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision; Natural language processing (Computer science); Supervised learning (Machine learning)
<br/><br/><label>Dewey Class. No.: </label>006.31  / TOK