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About Linear Regression
The document provides an overview of linear regression and how to implement it. It discusses representing the prediction function h(x) as a linear combination of features, and finding the parameters θ that minimize the cost function J(θ). To optimize J(θ), the objective value and gradient must be computed. The exercise asks the reader to fill in code for a linear regression example to calculate J(θ) and its gradient given training data.
Detailed Information
| Author: | ['Ahly Zamalek Masry'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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