Pretty much every CS paper I've read that was full of equations could have easily done without them. There certainly are sub-fields of CS where complex equations in papers are justified, but far too often it is laziness, and hides assumptions or imprecise descriptions that makes implementing the described methods harder.

Mostly, when I come across complex equations in CS papers, I tend to skip over them and only go back to look at them if there are parts of the paper I can't make sense of without them - it is very rare to find that they are necessary at all.

The cases where I find I need them are usually a sign of trouble - it tends to mean there'll be a lot of guesswork to figure out parameters and parts of the algorithms that are not spelled out in the paper at all. But usually the same ideas will be expressed in English, code or pseudo-code in much simpler ways.

My research for my MSc involved a bunch of papers on error correction in OCR, including a ton of image processing and statistical analysis, and not one of the 50+ papers I reviewed actually depended on the equations present in them for understanding the ideas, but I quickly learned to appreciate the ones that were light of equations for the seemingly substantially higher odds that the algorithm descriptions would be pretty much complete and precise.