What is Machine Learning?
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and improve their performance on a task without being explicitly programmed for every specific situation.
Instead of writing fixed rules, ML algorithms use patterns in data to make predictions or decisions. The more data they process, the better they get at the task.
Key points about Machine Learning:.
• It’s about building models that can recognize patterns or relationships in data.
• These models can predict outcomes, classify information, or discover insights automatically.
• Common examples include:
- Spam email detection
- Recommendation systems (like Netflix or Amazon)
- Image and speech recognition
- Fraud detection
Types of Machine Learning:
- Supervised Learning: Learns from labeled data (input-output pairs) to predict outcomes.
- Unsupervised Learning: Finds patterns or groupings in unlabeled data.
- Reinforcement Learning: Learns by trial and error through rewards and penalties.
In simple terms: Machine Learning = Teaching computers to learn from experience (data) instead of following fixed instructions