Скачать или смотреть What is Unsupervised Learning? (vs. Supervised) | AI Basics

What is unsupervised learning, and how is it different from supervised learning? 🤖 In this episode of AI Basics, we dive into the core machine learning technique that's powering chatbots, recommendation engines, and anomaly detection.

We'll break down the core concepts, comparing unsupervised learning (which uses unlabelled data to find hidden patterns) with supervised learning (which relies on labeled data to make predictions).

Chapters
0:00 - What is Unsupervised Learning?
0:30 - Unsupervised vs. Supervised: The Key Difference (Labeled vs. Unlabelled Data)
1:30 - Pros & Cons of Unsupervised Learning
2:45 - Pros & Cons of Supervised Learning
3:30 - Quick Summary: Unsupervised vs. Supervised
3:45 - What is Semi-Supervised Learning?
4:15 - The 3 Main Types of Unsupervised Learning
4:25 - Type 1: Clustering (K-Means, DB-SCAN)
4:45 - Type 2: Association (Apriori, FP-Growth)
5:05 - Type 3: Dimensionality Reduction (PCA, Autoencoders)
5:55 - Real-World Use Cases (Customer Segmentation, Anomaly Detection) 6:20 - Outro

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