This article introduces three different machine learning algorithms, linear and polynomial regressions, neural networks, and regression trees and random forests. The goal of the article is to assist in deciding which of these algorithm is the best to solve regression problems. It briefly explains how each algorithm works, then lists its pros and cons. This could be a good starting point if someone wanted to focus on one or more of these algorithms.
https://towardsdatascience.com/selecting-the-best-machine-learning-algorithm-for-your-regression-problem-20c330bad4ef
This article introduces three different machine learning algorithms, linear and polynomial regressions, neural networks, and regression trees and random forests. The goal of the article is to assist in deciding which of these algorithm is the best to solve regression problems. It briefly explains how each algorithm works, then lists its pros and cons. This could be a good starting point if someone wanted to focus on one or more of these algorithms.