LM101-086: Ch8: How to Learn the Probability ...

This 85th episode of Learning Machines 101 discusses formal convergence guarantees for a broad class of machine learning algorithms designed to minimize smooth non-convex objective functions using batch learning methods. In particular, a broad class of unsupervised, supervised, a ...  Afficher plus

In this episode of Learning Machines 101, we review Chapter 6 of my book "Statistical Machine Learning" which introduces methods for analyzing the behavior of machine inference algorithms and machine learning algorithms as dynamical systems. We show that when dynamical systems ca ...  Afficher plus

Melvyn Bragg and guests discuss the strange mathematics of probability where heads or tails is a simple question with a far from simple answer. Gambling may be as old as the hills but probability as a mathematical discipline is a relative youngster. Probability is the field of ma ...  Afficher plus

Machines have been used to simplify labor since time immemorial, and simplify thought in the last few hundred years. We are at a point now where we have the electronic computer to aid us in our endeavor, which allows us to build hypothetical thinking machines by simply writing th ...  Afficher plus

✍︎: The Curious Worldview Newsletter - the ultimate compliment to the podcast... Other episode of the podcast that suit this episode...Brian Klaas – Fluke & RandomnessRuss Roberts – EconTalkLuca Dellanna – Ergodicity All The Way DownScott Patterson – Chaos KingsNassim Taleb & Inc ...  Afficher plus

In this captivating episode of Breaking Math, hosts Gabriel and Autumn dive deep into chaos theory—a fascinating branch of mathematics that explores the behavior of complex systems highly sensitive to initial conditions. They break down the butterfly effect, revealing how tiny va ...  Afficher plus