Examples :Using Derivatives of ßo & ß1 to Minimize MSE | Linear Regression #5 | Machine Learning

In this video i've discussed about the gradient descent
The Chain Rule | Nancy Pi : • The Chain Rule... How?...
Other parts
Part 1 : • Linear Regression for ...
Part 2 : • Find the Best Fit Line...
Part 3 : • Gradient Descent | Lin...
Part 4 : • Using Derivatives of ß...
Gradient descent is nothing but a iterative Optimization algorithm for finding minimum of a function.
Talked about how to use the derivatives of ßetas for minimizing the cost function.
Using Caculus for minimizing the derivatives.
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