1. EachPod

Convex (and non-convex) Optimization

Author
[email protected] (Ben Jaffe and Katie Malone)
Published
Mon 17 Dec 2018
Episode Link
https://soundcloud.com/linear-digressions/convex-and-non-convex-optimization

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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