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Stanford
Altman CS
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Stanford CS229: Linear Regression with Gradient Descent | RANA SOHEL posted on the topic | LinkedIn
The second lecture of Stanford’s CS229, and things are getting much more practical! 📊 This was all about linear regression and the maths behind how we actually "fit" a model to data. We moved past the high-level intro from the 1st lecture and got into the weeds with gradient descent (batch vs stochastic) and the normal equation. One big ...
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