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About Linear Regression With Multiple Variables - Machine Learning, Deep Learning, and Computer Vision
This document discusses linear regression with multiple variables. It covers gradient descent for multiple variables, feature scaling, checking gradient descent convergence, selecting the learning rate, and using polynomial regression for features. It also covers computing parameters analytically using the normal equation method and cases when the normal equation matrix is non-invertible.
Detailed Information
| Author: | ['Preetam Kumar Ghosh'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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