Matt Dupree
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Gradient descent is the algorithm at the heart of many machine learning problems. In this talk, I’ll introduce the algorithm and code it up from scratch to apply it to a toy linear regression problem on the relationship between videogame metacritic scores and sales.
Matt Dupree is a wannabe philosophy professor turned wannabe tech entrepreneur. He’s currently a software engineer at a YC-backed product analytics company called “Heap.” You can find out more about him here: https://www.philosophicalhacker.com/
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