Welcome to Part 2 of our tour through modern machine learning algorithms. In this part, we’ll cover methods for Dimensionality Reduction, further broken into Feature Selection and Feature Extraction. In general, these tasks are rarely performed in isolation. Instead, they’re often preprocessing steps to support other tasks. If you missed Part 1, you can check it out … Continue reading Dimensionality Reduction Algorithms: Strengths and Weaknesses