Machine Learning Data Scientist Should Know
The Three Types of Machine Learning Every Data Scientist Should Know Machine Learning (ML) is a foundational field in artificial intelligence that focuses on building systems capable of learning from data. Every aspiring and practicing data scientist must understand the core types of machine learning, as they determine how a model learns from data and how it should be applied to different problems. This article outlines the three primary types of machine learning: Supervised Learning , Unsupervised Learning , and Reinforcement Learning —along with their key techniques and commonly used algorithms. Supervised Learning Definition: Supervised learning involves training a model on a labeled dataset, meaning each training example has an input-output pair. The goal is for the model to learn a mapping from inputs to outputs. Key Applications: Classification – Predicting discrete categories (e.g., spam detection, disease diagnosis) Regression – Predicting continuous values (...