Скачать или смотреть Difference between supervised and unsupervised learning

🔍 Supervised vs. Unsupervised Machine Learning Explained!

Ever wondered how machines learn to make decisions? In this video, we break down the two core types of machine learning: Supervised and Unsupervised.

✅ Supervised Learning uses labeled data—where each input has a known output. It's perfect for tasks like spam detection, image classification, and predicting house prices. The model learns from examples and applies that knowledge to new data.

🧠 Unsupervised Learning, on the other hand, works with unlabeled data. It’s all about discovering hidden patterns, like grouping customers by behavior or detecting anomalies in network traffic—without predefined categories.

🎓 Whether you're a beginner or brushing up your AI skills, this video will help you understand:

Key differences between supervised and unsupervised learning

Real-world examples of each

When to use which approach

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