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Machine Learning with Less Training Data - Approaches and Trends
Expert systems and machine learning are two ends of a spectrum working to solve similar problems quite differently. One one hand you have if-then scenarios and a logical approach, and on the other you have vast neural networks and a big data approach. Some companies exist to try and bridge the gap between the if-then rule systems and the massive piles of data. They hope to find a middle ground of sorts, one that mitigates their individual disadvantages. One such company is Montreal's fuzzy.ai.
In this episode, we interview its founder, Evan Prodromou about the state of the middle ground…
The skinny
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