Where should I actually start? Math for ML or Andrew Ng's ML Specialization?

AI Discussions
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Hey everyone,

I’m starting my machine learning journey on DeepLearning.AI and trying to figure out the best roadmap so I don’t waste time or get totally lost.

I’m torn on where to hit ‘Start’ first: Should I dive straight into Andrew Ng’s Machine Learning Specialization, or is it better to build a foundation with the Mathematics for Machine Learning course first?

My eventual goal is to move into Deep Learning and Generative AI, but I want to build a solid foundation first without getting burnt out by pure theory early on.

For those of you who’ve gone through these:

  1. Is the math in Andrew Ng’s ML course self-contained enough for a beginner, or did you find yourself needing to pause and learn linear algebra/calculus elsewhere?

  2. Looking back, what exact sequence of DeepLearning.AI courses worked best for you?

Would love to hear how you approached this when you were starting out. Thanks!

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For your goals, i do not recommend the Math for ML courses.

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is there any time you would recommend the Math for ML course or its just not a good course in general.

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My opinion.
It has some nice math, but little of it relates to machine learning. I do not much like the presentation, and there are lots of errors which have not been fixed.