ML 101: Types of Machine Learning — Supervised, Unsupervised, Semi-Supervised & Reinforcement
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ML 101: Types of Machine Learning — Supervised, Unsupervised, Semi-Supervised & Reinforcement
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About this listen
In this Machine Learning 101 episode, we explain the four main types of machine learning—Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning—in plain English with real-world examples. We start from the basics (what features, labels, and classes mean), then explore when each learning type is used, its advantages and disadvantages, and how to choose the right approach in practice. You’ll hear relatable examples like house-price prediction, spam/fraud detection, customer segmentation, medical imaging with limited labels, and reward-based learning in robotics and games—plus common pitfalls like bias, privacy, and data leakage.
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