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How to derive the gradient descent formula from the log loss function

the log loss function:

the gradient descent of it:
image


Course: Fundamentals of Machine Learning for Software Engineers - Learn Interactively
Lesson: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers/B8rlrqkNMgn


Course: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers
Lesson: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers/B8rlrqkNMgn

I knew it.
the editor can’t input Latex, so I upload a captured pic:


Course: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers
Lesson: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers/B8rlrqkNMgn

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Hi @11122 !!
Great job on deriving the gradient descent formula from the log loss function! You’ve explained the steps quite well, and your derivation looks correct. It’s impressive that you were able to work through it on your own. Keep up the good work! :blush:

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Thank you!


Course: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers
Lesson: https://www.educative.io/courses/fundamentals-of-machine-learning-for-software-engineers/xlGX37X8jzz

1 Like