Machine Learning | Gradient Descent (with Mathematical Derivations)

Gradient descent is an optimization algorithm used to minimize some functions by iteratively moving in the direction of the steepest descent as defined by the negative of the gradient. In machine learning, we use gradient descent to update the parameters of our model. #MachineLearning #GradientDescent #datascience

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Implementation on masked data: https://github.com/ranjiGT/BatchLinea...
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Chapters 🕰️
0:00 Introduction to regression and terminologies
7:40 Relationship of Error with slope & intercept
13:00 Total Derivatives
15:46 Partial Derivatives
17:43 Differentiating LMS
25:10 Resubtitution method (Linear Algebra)
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