9. Linear Regression using Gradient Descent (Linear Regression Lec 3)

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Topics covered in the lecture (in the given sequence):
1. Intuition of linear regression
2. Formalizing cost function
3. Discussion on gradient descent optimization algorithm
4. Applying gradient descent to optimize parameters for linear regression

Ps: There are some pauses in between as I was waiting to get responses from online students.

Course homepage:
  1. Rizwan Ahmed Khan, PhD
  2. Regression
  3. Machine Learning
  4. Cost function
  5. Gradient Descent
  6. Optimization
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You can improve the quality of the videos by using a pen instead of the mouse and the continuous clicks.
Otherwise the lecture was good to view. Keep it up.

Birdsneverfly