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.
|}
|}
==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

Template:Reflist

  1. Solomonoff, Ray J. "A formal theory of inductive inference. Part II." Information and control 7.2 (1964): 224–254.