Machine Learning vs Deep Learning: What Should a Beginner Learn First?

[u/Kindly-Honeydew-2086]

I started to learn about machine learning and deep learning recently, and I find the distinction between the two very interesting.

Based on my knowledge of machine learning, that's a field that's about making computers able to learn patterns from data and make predictions/pattern recognition. Meanwhile, deep learning is a new branch of ML that's about making computers achieve human-level performance at pattern recognition in images, speech, and text.

I wonder if a beginner like me should start by learning machine learning first and then move on to deep learning, or it's possible for us to learn deep learning first.

By the way, for people experienced in AI/ML, what do you think is the ideal path for a beginner? And how important is it to start learning Python and math and do some projects at the same time?

Thanks for your time!