ML, a branch of AI, enables computers to learn from data and improve without explicit programming. It involves training algorithms to recognize patterns, make predictions, and adapt.
Types of Machine Learning
<ol>
<li>Supervised Learning 📚
<ul>
<li>What: Trains on labeled data to predict outcomes.
</li>
<li>How: Model learns to map inputs to outputs, adjusting based on errors.
</li>
<li>Examples: Spam detection, house price prediction.
</li>
</ul>
</li>
<li>Unsupervised Learning 🔍
<ul>
<li>What: Finds patterns in unlabeled data.
</li>
<li>How: Analyzes data to discover groupings or structures.
</li>
<li>Examples: Customer segmentation, feature reduction.
</li>
</ul>
</li>
<li>Reinforcement Learning 🎮
<ul>
<li>What: Learns through trial and error, maximizing rewards.
</li>
<li>How: Explores actions in an environment, learning from feedback.
</li>
<li>Examples: Game strategies, autonomous driving.
</li>
</ul>
</li>
</ol>
Understanding these core types of machine learning helps in grasping how intelligent systems are built and applied to solve various real-world challenges. 🌟

ML, a branch of AI, enables computers to learn from data and improve without explicit programming. It involves training algorithms to recognize patterns, make predictions, and adapt.

**Types of Machine Learning**

1. **Supervised Learning** 📚
    
    * **What:** Trains on labeled data to predict outcomes.
        
    * **How:** Model learns to map inputs to outputs, adjusting based on errors.
        
    * **Examples:** Spam detection, house price prediction.
        
2. **Unsupervised Learning** 🔍
    
    * **What:** Finds patterns in unlabeled data.
        
    * **How:** Analyzes data to discover groupings or structures.
        
    * **Examples:** Customer segmentation, feature reduction.
        
3. **Reinforcement Learning** 🎮
    
    * **What:** Learns through trial and error, maximizing rewards.
        
    * **How:** Explores actions in an environment, learning from feedback.
        
    * **Examples:** Game strategies, autonomous driving.
        

Understanding these core types of machine learning helps in grasping how intelligent systems are built and applied to solve various real-world challenges. 🌟

Day 1 - Basics of Machine Learning 🤖