In a previous event, I presented the fundamentals of Machine Learning, going all the way back to Pythagoras, to explore early notions of distance, ultimately culminating in the Nearest Neighbor Algorithm, which was discovered in 1951.

In this presentation, I'll continue where we left off, introducing more advanced topics such as image, video, & time-series processing, & classification. I'll also introduce some formal, original results I've come up with using the Kolmogorov Complexity, that we'll use to understand, analytically, & objectively, the limits of Machine Learning.

The slides from the previous talk are below, the new presentation will be coming soon!

Fundamentals of Machine Learning

UPDATED LOCATION

The Westbury

20 W 38th Street Between 5th & 6th Avenue New York, NY 10018