Machine Learning In Pure Mathematics And Theoretical Physics

The juxtaposition of quotmachine learningquot and quotpure mathematics and theoretical physicsquot may first appear as contradictory in terms. The rigours of proofs and derivations in the latter seem to reside in a different world from the randomness of data and statistics in the former. Yet, an often under-appreciated component of mathematical discovery, typically not presented in a final draft, is experimentation both with ideas and with mathematical data.