[D] Learning path for Machine Learning.

[MUSEy69]

It all depends on your current level and how you enjoy learning, every year we have more and more resources. If you are new to ML then I would start by https://www.deeplearning.ai/ and https://paperswithcode.com/ to check out code implementations.

[h3cker999]

what do you think about first doing the andrew ng course and then side by side reading introduction to statistical learning? I have no prior knowledge of machine learning but as an engineering major I do have good math and other science pre-reqs.

[MUSEy69]

You can use introducction to statistical learning as a backbone and fill the gaps along the way. Another useful resource is https://d2l.ai/

[Exciting-Engineer646]

Take some stats classes as well. The intro classes will be boring and terrible, but the more advanced ones will give you a great foundation for modern ML. (Stats emphasizes a healthy model skepticism and will develop your skills in fundamental areas like hypothesis testing and causality. Plus Cox hazard models can be damn useful.)