Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn from data and improve performance automatically without being explicitly programmed.
Instead of following fixed rules, machine learning systems identify patterns in data and make predictions or decisions based on experience.
Handles large amounts of data efficiently
Improves accuracy over time
Enables automation and intelligent decision-making
Data is collected
Data is processed and cleaned
An algorithm learns patterns from the data
The model makes predictions or decisions
Performance improves with more data
1. Supervised Learning
Trained using labeled data
Examples: Spam detection, House price prediction
2. Unsupervised Learning
Works with unlabeled data
Examples: Clustering, Customer segmentation
3. Semi-Supervised Learning
Uses both labeled and unlabeled data
Example: Image classification with limited labels
4. Reinforcement Learning
Learns through rewards and penalties
Examples: Game AI, Robotics
Speech recognition
Image and face recognition
Recommendation systems
Medical diagnosis
Fraud detection
Machine Learning is transforming how computers learn and make decisions. It is a core technology behind many modern applications and continues to shape the future of technology.
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