Pioneers
The people behind the theory. Documented contributions from the founders of probability and statistical inference to the architects of modern machine learning.
Carl Friedrich Gauss
Classical mathematics
Developed least squares and the normal distribution that underpins regression.
Ronald A. Fisher
Modern statistics
Formalized maximum likelihood and the design of experiments.
John von Neumann
Game theory and computing
Proved the minimax theorem and co-founded game theory.
Andrey Kolmogorov
Foundations of probability
Put probability theory on a rigorous axiomatic foundation.
Alan Turing
Foundations of computation
Defined computation formally and framed the question of machine intelligence.
Claude E. Shannon
Information theory
Founded information theory and defined entropy as a measure of uncertainty.
John McCarthy
Founding of AI
Named the field of artificial intelligence and created the Lisp language.
Marvin Minsky
Founding of AI
Co-founded the MIT AI Laboratory and analysed the limits of single-layer networks.
Frank Rosenblatt
Early neural networks
Built the perceptron, the first trainable artificial neuron.
Leo Breiman
Statistical learning
Created bagging and random forests, and formalized decision trees.
John Nash
Game theory
Proved that every finite game has an equilibrium, generalizing game theory beyond zero-sum.
Thomas Bayes
Foundations of probability
Gave the rule for revising a probability in the light of evidence.
Vladimir Vapnik
Statistical learning theory
Co-developed the support vector machine and statistical learning theory.
Judea Pearl
Probabilistic reasoning
Made probabilistic reasoning tractable through Bayesian networks, then formalized causality.
Geoffrey Hinton
Deep learning
Co-authored the paper that made backpropagation widely known, and led the deep learning revival.
Yann LeCun
Deep learning
Developed convolutional networks and demonstrated them at scale on real recognition tasks.
Yoshua Bengio
Deep learning
Advanced neural approaches to language, including distributed word representations.
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