Welcome to 'Data Science for Engineers' course !

This lecture provides a numerical example of gradient descent, a widely used optimization algorithm. It demonstrates:
How gradient descent iteratively updates parameter values to minimize the objective function
The concept of learning rate and its effect on convergence
The connection between gradient descent and learning rules in machine learning
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