Human-in-a-loop is the approach used in the creation of machine learning models, particularly beneficial when the cost of errors is too high or while working with a limited amount of data. It leverages both human and machine intelligence – humans are directly involved in training and testing data for a specific algorithm. This allows for a higher quality of results through correcting inaccuracies in machine predictions.
We will go over the methodological aspects and potential obstacles of this approach, along with possible solutions and application examples based on CAMELOT Use Cases.
Join us on 24th September 2020 from 4.00 to 5.00 PM and take the opportunity to exchange ideas. Don’t hesitate to prepare and ask your questions. We will hold a Q&A round at the end of the webinar.
This webinar is free of charge for you.
We are looking forward to hosting you in this session!
This webinar is part of a webinar series of the “Global Community for Artificial Intelligence in MDM“. In times of COVID-19 we decided to open the community events also to industry representatives who are not part of the community yet. We want to give all domain experts access to this platform of exchange and knowledge to help them better steer their companies through the crisis.