How much volume of specific mathematics for AI, and machine learning is needed for better intuition
Hello everybody, I have pending question that has been long standing for quite some time now, and I'm sure it's mostly every beginner question in this field? What math is really required now, my understanding is that AI heavily relies on these three math foundation( probability, linear algebra and calculus.... now I've seen so many reddit post on this question and yet I've not found an answer that really is ordered or in some sense is a complete guardrail in the math foundation for machine learning, it's either half baked, vague or just not good enough, I've searched different YouTube queries regarding this and most, if not all the courses don't take account to the person background knowledge like their teaching style , don't get me wrong it's not easy I mean stepping in to a math foundation field with someone from a medical or non stem related background but the willingness won't fade, cause it's something I really am awed by and fascinated by how human brain inspired such thinking model. So my last hope is to plead with the great AI and machine learning experts that have stood the test of time , if you can carefully curate a list of relevant topics that you think is core to the learning process, each topic from linear algebra, calculus and probability, I have no problem with how long it may take, I just want to actually put my hands in dirty and get the feeling of building projects or solving problems using these foundation tools, please I beg you, i know it's a lot asking experts from a strange like myself but the dedication is unwavering and the thirst for knowledge is an all time high.
Thank you..