LM101-045: How to Build a Deep Learning Machi...

This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set of outcomes in a space-time continuum which characterizes our physical world. Such a set is called an "environmental event". The machine learning algorithm uses ...  Show more

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 ...  Show more

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 ...  Show more

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 ...  Show more

✍︎: 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 ...  Show more

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 ...  Show more