Optimization in Machine Learning - Mathematical Concepts - Matrix calculus

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  1. Statistical Learning and Data Science
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Thank you for doing this video in Numerator layout. It seems many videos on machine learning use Denominator layout but I definitely prefer Numerator layout! Is it possible you could do a follow-up video where you talk about partial derivative of scalar function with respect to MATRIX ? Most documents I've looked at seem to use Denominator layout for this type of derivative (some even use Numerator layout with respect to VECTOR, and then switch to Denominator layout with respect to MATRIX). I assume it's because Denominator layout preserves the dimension of the matrix, making it more convenient for gradient descent etc. What would you recommend I should do?

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