📚 Types of Machine Learning

Understand the major categories of Machine Learning with simple examples!

Machine Learning can be classified based on how the model learns from data. Let's explore the three main types with colorful examples! 🎨

Type	Meaning	Example
Supervised Learning 📘	The model learns from labeled data (input-output pairs).	Email spam detection (spam or not spam)
Unsupervised Learning 📙	The model tries to find hidden patterns in unlabeled data.	Customer segmentation in marketing
Reinforcement Learning 🎮	The model learns by trial and error, receiving rewards or penalties.	Self-learning robots, playing games like chess

---

📘 Supervised Learning

- Data is labeled (we know the correct answers).
- Model learns to map inputs to correct outputs.

Common Algorithms:
🔹 Linear Regression
🔹 Decision Trees
🔹 Support Vector Machines

---

📙 Unsupervised Learning

- Data is unlabeled (no correct answers given).
- Model tries to discover patterns and groupings.

Common Algorithms:
🔹 K-Means Clustering
🔹 Principal Component Analysis (PCA)
🔹 Hierarchical Clustering

---

🎮 Reinforcement Learning

- Model interacts with an environment.
- Learns by receiving rewards (positive) or penalties (negative).

Common Algorithms:
🔹 Q-Learning
🔹 Deep Q Networks (DQN)
🔹 Policy Gradient Methods

---

🎯 Quick Challenge!

Which type of ML uses rewards and penalties to learn?

---

By Darchums Technologies Inc - April 26, 2025