We have understood enough about the essential concepts of ML, and now we will explore ML algorithms. First, we will see the supervised ML algorithms that are mostly used in the NLP domain. I'm not going to cover all the supervised ML algorithms here, but I'm explaining those that are most widely used in the NLP domain.
In NLP applications, we mostly perform classification applying various ML techniques. So, here, our focus is mostly on the classification type of an algorithm. Other domains, such as analytics use various types of linear regression algorithms, as well as analytical applications but we are not going to look at those algorithms because this book is all about the NLP domain. As some concepts of linear regression ...
