Socratica explores how to learn computer programming with Ulka Simone Mohanty.

More STUDY TIPS videos:

Microsoft Research has just posted a talk by Kevin Buzzard of the Imperial College of London. Don’t worry, no advanced mathematical knowledge is assumed in the talk.

Slides: https://www.microsoft.com/en-us/research/uploads/prod/2019/09/The-Future-of-Mathematics-SLIDES.pdf 

From the video description:

As a professor of pure mathematics, my job involves teaching, research, and outreach.

Two years ago I got interested in formal methods, and I learned how to use the Lean theorem prover developed at MSR. Since then I have become absolutely convinced that tools like Lean will play a role in the future of mathematics.

Machine Learning can be confusing sometimes.

From the esoteric terms to elevated expositions it seems like a terribly difficult area to get into.

Seth Juarez, like me, started off as a developer, and he tackles the one term that is used all of the time in Machine Learning: the elusive “model.

From the description:

First we set up how machine learning is different, how to think about it, and finally what a model actually is (spoiler alert – think “a function written a different way”). Would love your feedback

https://aka.ms/MachineLearningModels

Leila Etaati, a Data Soup Summit speaker,  will be in the USA for a month and presenting a one day workshop at the following locations