We’re in the age of data. In recent years, many companies have already started collecting large amounts of data about their business. Other companies are starting now. However, before you can train any decent supervised model you need ground truth data. Before you can proceed, you need a sufficiently large set of correctly labeled data records to describe your problem. And data labeling - especially in a sufficiently large amount - is expensive.
In this workshop you’ll learn about the main concepts of the Guided Labeling procedure based on Active Learning and Weak Supervision KNIME Extensions. We’ll also show example workflows from the KNIME Hub and blueprint web-applications via the KNIME WebPortal to interactively label any document set while investing only a fractional amount of time in manual labeling and insertion of rules.
This workshop is run by Paolo Tamagnini & Adrian Nembach (KNIME).
We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here
More online workshops
|May 5||Behind the Scenes of Machine Learning|
|May 7||Building a Drug Discovery Workflow in 8+1 steps with KNIME|
|May 12||Deep Learning for Image Analysis|
|May 14||KNIME Big Data Workshop|
|May 19||GDPR Compliance through Advanced Anonymization Techniques|
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.
Download the latest free, open source version of knime here: knime.com/download