Member-only story
Decision Trees in Machine Learning
The best way to understand Decision Trees goes through Machine Learning. An interdisciplinary field of study and a subset of Artificial Intelligence, Machine Learning enables computers to learn from huge amounts of data, without the need to be programmed.
There are three types of Machine Learning Models:
Supervised Learning — This happens when the dataset has labels and features that area already predefined on which the machine learning models have been trained. Supervised Learning further has two sub-parts: Classification and Regression.
Unsupervised Learning — A dataset with predefined features but has no labels then Machine Learning algorithms must operate the data to provide labels. This is also done to decrease the data’s dimensionality. The Clustering and Principal Component Analysis (PCA) are the most common among several types of Unsupervised Learning Models.
Reinforcement Learning — This is the most advanced type of Machine Learning model where it learns from ‘experience’. There…
