Name: The Fundamentals of Machine Learning
Start: 2025-07-08T23:00:00.000Z
Location: The Westbury

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, and time-series processing, and classification. I'll also introduce some formal, original results I've come up with using the [Kolmogorov Complexity](https://en.wikipedia.org/wiki/Kolmogorov_complexity), that we'll use to understand, analytically, and 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](https://derivativedribble.wordpress.com/wp-content/uploads/2025/04/the-fundamentals-of-artificial-intelligence-1.pdf)

**UPDATED LOCATION**

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

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The Fundamentals of Machine Learning

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