This lectures covers the least mean square method for linear regression. Along the way, we will encounter the ideas of learning by minimizing a loss function, and gradient and stochastic gradient descent.
Lectures
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- Older videos: [spring 2023, lecture 1], [spring 2023, lecture 2], [fall 2018], [fall 2017]
Links and resources
- Chapter 3.1 of Christopher Bishop, Pattern Recognition and Machine Learning.