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Podcast: Linear Digressions
Episode:

Convex (and non-convex) Optimization

Category: Technology
Duration: 00:20:00
Publish Date: 2018-12-16 21:06:42
Description: Convex optimization is one of the keys to data science, both because some problems straight-up call for optimization solutions and because popular algorithms like a gradient descent solution to ordinary least squares are supported by optimization techniques. But there are all kinds of subtleties, starting with convex and non-convex functions, why gradient descent is really an optimization problem, and what that means for your average data scientist or statistician.
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