24. September 2020 @ 4:00 pm – 5:00 pm UTC
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 September 24th 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!
