Practical Weak Supervision PDF

Practical Weak Supervision Book PDF
Practical Weak Supervision PDF
eBook: Practical Weak Supervision: Doing More with Less Data PDF by Amit Bahree, Senja Filipi, and Wee Hyong Tok

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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. 

In practical weak supervision book pdf, You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies pursue ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. This eBook is curated from github and other premium computer books downloading websites. So, what are you waiting for? Download Practical Weak Supervision pdf from the below given link.

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Machine Learning Ebooks
October 04, 2021
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