Practical Weak Supervision Doing More with Less Data 1st Edition by Wee Hyong Tok, Amit Bahree, Senja Filipi 9781492077060 1492077062

Practical Weak Supervision Doing More with Less Data 1st Edition by Wee Hyong Tok, Amit Bahree, Senja Filipi – Ebook PDF Instant Download/Delivery: 9781492077060, 1492077062

Full download Practical Weak Supervision Doing More with Less Data 1st Edition after payment

 

Product details:

ISBN 10: 1492077062

ISBN 13: 9781492077060

Author: Wee Hyong Tok, Amit Bahree, Senja Filipi

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 and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get up to speed on the field of weak supervision, including ways to use it as part of the data science process Use Snorkel AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled dataset for text and image classification Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling

Table of contents:

Chapter 1: Introduction to Weak Supervision

Chapter 2: Diving into Data Programming with Snorkel

Chapter 3: Labeling in Action

Chapter 4: Using the Snorkel-Labeled Dataset for Text Classification

Chapter 5: Using the Snorkel-Labeled Dataset for Image Classification

Chapter 6: Scalability and Distributed Training

People also search:

practical weak supervision

practical weak supervision doing more with less data

practical weak supervision pdf

weak supervision methods

weak supervision example

Tags: Wee Hyong Tok, Amit Bahree, Senja Filipi, Practical