Understanding Random Forest. How the Algorithm Works and Why it Is…

Understanding Random Forest. How the Algorithm Works and Why it Is… | by Tony Yiu | Towards Data Science is a great article that you should read about classification of Machine Learning by Tony Yiu (9-minute read)

Some context to the subject of the article that you could use...

‘Random forests are somewhat of a fundamental algorithm in Machine Learning due to its relative ease to understand and how powerful it is in its predictions. It is basically a collection of decision trees that we would have learned back at school, which then take advantage of the power of a ‘group decision’ to give a prediction.

In this article, you will learn the fundamentals of Random Forests and how they can be applied to classification problems (where we want?to make a decision or place data into a category).

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