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Bayesian Methods in AI
Applying probability theory to handle uncertainty in reasoning.
Why It Was Important
While symbolic AI relied on absolute logic, early explorations into Bayesian methods sought to handle the inherent ambiguity of the real world by applying probability. Although computationally too expensive for the 1960s hardware, these probabilistic methods laid the groundwork for the statistical ML revolution of the 1990s.
Who Invented It
Various theoreticians
Statisticians and early ML theoreticians.
Applications
- Spam Filtering
- Medical Diagnosis
- Machine Learning
Videos
Using Bayesian Approaches & Sausage Plots to Improve Machine Learning - Computerphile
Computerphile