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PRODID:ics.py - http://git.io/lLljaA
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DESCRIPTION:Come see CC's own Professor Cory Scott discuss a very broad field with applications all across the sciences - optimization! Improve your devices and code with these techniques\, and enjoy pizza at noon!\n\n\n\nRated PG: Some calculus knowledge suggested but not required.\n3/10/23 • 12:30 - 1:30 PM\nKresge Lecture Hall (Tutt Science 122)\n\nFull abstract:\nAcross all fields of science and engineering\, we frequently need to optimize a function: we have some function f\, and we want to find a choice of x that will make f(x) as large as possible. f can be a mathematical function\, or something more complicated\, like the error between a machine learning model's prediction and the "right" answer. Optimization is a really broad field with many different techniques for specific kinds of functions. In this talk\, I'll introduce some examples of optimization algorithms\, and demonstrate how they work. I'll also discuss what makes a particular algorithm suitable for specific kinds of problems. If I have time\, at the end I'll talk about a couple of optimization algorithms that crop up in my research. \n\nhttps://today.coloradocollege.edu/events/6100
DTEND:20230310T203000Z
LOCATION:Tutt Science 122 - Lecture Hall (Social Science)
DTSTART:20230310T193000Z
SUMMARY:Talk: Computer Scientists Need Derivatives Too - An Introduction to Optimization!
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