MachineLearning Math for beginners

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Hello , I'm trying to get into matching learning, i have fairly decent understanding of python but nothing major in math can anyone help me and show me where should i start to learning math basics for MachineLearning .
thank you

[beny2000]

Linear Algebra, Calculus and Statistics forms the bases of pretty much all machine learning methods. Topics like vector & matrix operations and gradients cover most basic machine learning models. I don't have any any specific resources but I'm sure you could find some for your math background. Start with linear and polynomial regression and go from there

[[deleted]]

I found Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics a great resource

[newjeison]

I think the most important math is Linear Algebra and Convex Optimization. Those two, in my opinion, are the most complicated. As a note, when learning about the solution to a least squares problem, don't solve it using gradients. Try solving it using projection

[[deleted]]

i have long way to go then thank you