I've enrolled the Machine Learning Specialization course. Can I complete this course without knowing maths? How much knowledge do I need to comfortable with this coursue?

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
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  • Description (include relevant info but please do not post solution code or your entire notebook)I’ve enrolled the Machine Learning Specialization course. Can I complete this course without knowing maths? How much knowledge do I need to comfortable with this coursue ?
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Hi @hridoyhasan

This specialization is designed to be accessible even if you’re not deeply familiar with math. For comfort with the course, it’s useful to know some linear algebra (like vectors and matrices), basic calculus (mainly derivatives and gradients), and fundamental probability/statistics.

If you’re new to these topics, you can still succeed by focusing on the course’s practical aspects. If needed, you can review foundational math concepts using resources like Mathematics for Machine Learning Specialization, Khan Academy, 3Blue1Brown, etc.

Hope this helps! Feel free to ask if you need further assistance.

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Thanks! I’m not facing problems with math; I’m struggling with the labs. The labs are too hard for me, but I don’t want to just run the code and see the output without understanding the implementation. What can I do to resolve this? Please help me out.

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That is a totally normal experience and you are not alone! All you need to do is to spend time working on codes and experimenting everything that comes to your mind.

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Thanks for your suggestion.
The main problem is visualization. In the labs, they used advanced visualization, which is quite difficult to understand.

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I understand! Visualization can be hard to understand at first, but try breaking it down step by step. Focus on understanding what each part of the code is doing. You can also look up simpler explanations of the visualization techniques. Over time (not at once!), it will become more intuitive.

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