What is Machine Learning?
Machine Learning (ML) is a branch of AI where algorithms learn patterns from data rather than following explicit rules. Instead of programming exact steps, we provide data and let the system adjust itself.
Core Types of ML
Supervised Learning
Trains on labeled data (input → output). Example: predicting house prices from features.
Unsupervised Learning
Finds hidden patterns in unlabeled data. Example: grouping customers into clusters.
Reinforcement Learning
Agents learn by trial and error with rewards. Example: a robot learning to walk or a game AI.
Key Steps in ML Workflow
- Collect and clean data
- Choose a model (linear regression, decision tree, neural network)
- Train on data
- Evaluate accuracy
- Deploy and monitor