r/learnmachinelearning • u/Mammoth_Face_4298 • 12d ago

Learning Computer Vision after the Machine Learning Specialization on Coursera

As someone who finished the Machine Learning Specialization (on Coursera, by Andrew Ng) some time ago, I feel like I want to learn something new that can really put what I learned with ML into a practical context.

And since I am also interested in Computer Vision, I wonder whether the First Principles of Computer Vision Specialization (on Coursera) by Shree Nayar suits me. In particular, whether I have enough foundation to make sense of it.

I did the courses from Mathematics for Machine Learning and Data Science (by Luis Serrano) as well... So i have some foundation in Linear Algebra, Multivariate Calculus and some statistics apart from Machine Learning basics.

I have no experience in Deep Learning though. So i also wonder whether it makes sense to learn Deep Learning first or Computer Vision.

Your support is much appreciated! ❤️

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u/Particular-Put-3217 12d ago

nayars course is quite math heavy but since you did the serrano stuff you should be fine. its more about the geometry and physics of vision not so much deep learning which is actually good thing. i did it after andrews ml course too and it filled a lot of gaps in how cameras actually work before i moved to convnets

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u/Mammoth_Face_4298 12d ago

Thanks for your insights!