Types of Machine Learning Explained: Supervised, Unsupervised & Reinforcement Learning

Описание: Learn the three main types of Machine Learning with real-world examples and practical applications.
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What You'll Learn:
The three types of ML: Supervised, Unsupervised, and Reinforcement Learning
​- Supervised Learning: learning with labeled data like a student with an answer key
​- Classification vs Regression: predicting categories vs numerical values
​- Unsupervised Learning: finding hidden patterns in unlabeled data
​- Clustering and Dimensionality Reduction techniques
​- Reinforcement Learning: learning by trial and error with rewards and penalties
​- Key components: Agent, Environment, Actions, and Rewards
​- When to use each type of Machine Learning
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Timestamps:
0:00 - Introduction to ML Types
2:00 - Quick Overview of Three Types
3:30 - What is Supervised Learning
6:15 - Classification vs Regression
8:45 - Supervised Learning Examples
11:00 - What is Unsupervised Learning
13:30 - Clustering and Dimensionality Reduction
15:45 - Unsupervised Learning Examples
18:00 - What is Reinforcement Learning
20:30 - RL Key Components
22:45 - Reinforcement Learning Examples
25:00 - Comparing All Three Types
27:15 - When to Use Each Type
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