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  • X minus mu
  • So first we will define the a we'll define a variable a or
  • For
  • EE769 4 4 Linear classification - Perceptron algorithm
  • In this video, we'll explore the concept of

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EE769 4 1 Linear classification - Basics So ah the boundary is not Lecture 3 introduces Definitions; decision boundary; separability; using nonlinear features.

Isn't Machine Learning interesting to learn? Last time we dived into Supervised Learning, do you have any doubts regarding that?

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