I think, in some areas math language is more appropriate, in the others programs and algorithms are more appropriate. There is not wonder that a machine learni

I think, in some areas math language is more appropriate, in the others programs and algorithms are more appropriate. There is not wonder that a machine learning or a computer vision idea might be more accessible as an algorithm program, but this is not universally true for any kind of math. A well written paper would describe things in clear terms, choosing the most comprehensible means to convey their idea. So, they might provide all three: 1) concise math formulas, 2) corresponding algorithms, and 3) an explanation in English. Not always all three presentation forms are achievable, but all of them can be useful and enlightening for the reader. Unfortunately, in reality, there might be problems with presenting things in clear way: 1) A scientist might think that it is too verbose to repeat themselves, so they present the idea in only one form, at a single place in their paper, and think it's enough ("for the intelligent reader"). You want to find certain balance between conciseness and clarity, imo. 2) A scientist might be so immersed into the specific area of study they are writing about, so they don't see the reason for explanations for the more general audience. Here, it depends what audience the scientist is trying to reach. Also, not all papers present a good exposition of the field of study anyway. So try finding good papers that explain things in clear terms at your level of comprehension. Read those, then move on to find new sources.