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Jesse Hoogland - Singular Learning Theory

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Singular Learning Theory (SLT) is a novel mathematical framework that expands and improves upon traditional Statistical Learning theory using techniques from algebraic geometry, bayesian statistics, and statistical physics. It has great promise for the mathematical foundations of modern machine learning.
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Many thanks for tuning in!
Please support SciFuture by subscribing and sharing!
Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series?
Kind regards,
Adam Ford
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