Difference between revisions of "Machine Learning/Timeline"

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==References==
==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

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