Difference between revisions of "Machine Learning/Timeline"
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(Created page with "{| class="wikitable sortable" |- ! 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.<ref>Solomonoff, Ray J. "A formal theory of inductive inference. Part II." Information and control 7.2 (1964): 224–254.</ref> |- | 1970s || 'A...") |
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| 1980s || Rediscovery of [[backpropagation]] causes a resurgence in machine learning research. | | 1980s || Rediscovery of [[backpropagation]] causes a resurgence in machine learning research. | ||
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==References== | |||
{{Reflist|30em}} | |||
Revision as of 08:36, 23 December 2021
| 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.
