You may have watched a few Machine Learning courses and then decided to read papers, but have stumbled upon many terms and concepts that you haven’t had the chance to learn so far.
Maybe you are following an online lecture from a university and the professor assumes that people who are watching this lecture are familiar with certain concepts, but it turns out that that’s not the case for you.
You would probably want to have a dictionary-like page where you can quickly brush up some of the things that are necessary for you to not fall behind.
Similar scenarios may have occurred to you when you were reading in a foreign language.
Deep.Ai has a page that can be quite helpful in such situations.
There is a list of many topics that have detailed explanations you can learn and understand quickly. You can also just skim through some of them in case you are in a rush, or simply want to have a gist of it.
You can read in there about the curse of dimensionality, anomaly detection, gradient bagging, Boltzmann Machine, etc.
You can also check it out in when you have some free time and would rather prefer to use that in something that can advance you in your career.
Even if you don’t think you need it right now, I think it’s worth bookmarking it and have it there, so that you do not forget about it.
