Introduction to Machine Learning Algorithms
Machine learning is a subset of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.
Types of Machine Learning Algorithms
1. Supervised Learning
In supervised learning, the algorithm is trained on a labeled dataset. It learns from the input-output pairs to produce a function that can map new inputs to accurate outputs.
2. Unsupervised Learning
This type of algorithm identifies patterns and relationships in data without any labels. It is often used for clustering and association tasks.
3. Reinforcement Learning
Reinforcement Learning involves training an algorithm using a system of rewards and penalties to encourage specific behaviors.
Key Applications
- Fraud Detection
- Predictive Maintenance
- Customer Segmentation
- Speech Recognition
Machine learning is revolutionizing various industries, making processes more efficient and reducing human error.