Jaelle Scheuerman

4.3. Baseline Uncertainty Model A naïve Bayes classifier is used as a baseline uncertainty model to produce first-order input uncertainty values for CLU. We use a baseline in this manner because most supervised ML implementations naturally choose to formulate uncertainty directly from the data model, especially in the generative case. The input to the CLU model we present may take any black-box baseline uncertainty model.

Hussein A.

In this post, we continue sharing the results from a recent survey on the Impact of COVID-19 and Remote Work on Early-Career Computing Professionals. Our survey included a question concerning effective strategies respondents had employed to reduce the negative impact of remote work on their own productivity. Of the 253 participants in the study, (61.6%, N=156) responded to this question. There were several themes associated with strategies to improve productivity while working remotely.