Random Forests are one of the most popular machine learning models used by data scientists today. How they are actually implemented and the variety of use cases they can be applied to are often overlooked.
While this article will focus on the inner workings of Random Forests, we’ll start off by exploring the main problems this model solves.
The Bias Variance Tradeoff
One of the central tenets of statistics and machine learning is the concept of the Bias-Variance tradeoff, which states that as a…
