Machine Learning/Timeline
From Thalesians Wiki
Decade | Summary |
---|---|
<1950s | Statistical methods are discovered and refined. |
1950s | Pioneering machine learning research is conducted using simple algorithms. |
1960s | Bayesian methods are introduced for probabilistic inference in machine learning.[1] |
1970s | 'AI Winter' caused by pessimism about machine learning effectiveness. |
1980s | Rediscovery of backpropagation causes a resurgence in machine learning research. |
References
- ↑ Solomonoff, Ray J. "A formal theory of inductive inference. Part II." Information and control 7.2 (1964): 224–254.