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This article provides an overview of the different machine learning algorithms and provides guidance on which ones to start with and which ones can be skipped. It is categorized into three categories: supervised learning, unsupervised learning, and reinforcement learning. It is recommended to start with supervised learning algorithms, such as decision trees and linear regression, as they are the most important and widely used.