Introduction to Machine Learning
Machine Learning enables computers to learn from data without explicit programming.
Types of Learning
Supervised Learning
Learn from labeled data to make predictions.
Unsupervised Learning
Find patterns in unlabeled data.
Reinforcement Learning
Learn through interaction and rewards.
Common Algorithms
Linear Regression
Predict continuous values using a linear relationship.
Classification
Categorize data into predefined classes.
Clustering
Group similar data points together.
Popular Libraries
- Python: scikit-learn, TensorFlow, PyTorch
- JavaScript: TensorFlow.js, ML5.js
Real-World Applications
- Recommendation systems
- Image recognition
- Natural language processing
- Fraud detection
Getting Started
Start with simple datasets and gradually increase complexity.