/sci/ - Science & Math

Hey guys, I don't come on this board often cause I'm a comp sci student in my fourth year. I've got to write my dissertation this year and because they barely teach me any of the science aspect of computer science, I went with a fairly maths heavy one. My paper is on using Bayesian methods in deep learning to classify skin lesions, I have a good grasp of basic calculus but I'm finding going from basic web dev shit to reading mathematical papers quite jarring and was wondering if anyone had any advice? I particularly struggle with all the jargon and teaching myself so many new complicated concepts, I understand Bayesian theorum on a surface level but have been struggling when its applied in a more complex forms. Do any of you guys have any advice for when you started out? Like I said they don't really teach me much of this stuff and I'm so used to being spoonfed its kinda hard to adjust.