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Question 4 of 5
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Q4 Single choice

Regularization is a very important technique in machine learning to prevent over fitting. And Optimizing with a L1 regularization term is harder than with an L2 regularization term because

  • A

    The penalty term is not differentiate

  • B

    The second derivative is not constant

  • C

    The objective function is not convex

  • D

    The constraints are quadratic

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