What is Machine learning
Machine learning is a part of artificial intelligence (AI) that allows computers to learn from data and improve at tasks without being explicitly programmed for every step.
In simple terms
Instead of telling a computer exactly what to do, you show it examples, and it figures out patterns on its own.
How it works (basic idea)
Data – You give the computer lots of examples
Example: photos of cats and dogs
Model – The computer uses a mathematical model to study the data
Training – The model learns patterns (like shapes, colors, sizes)
Prediction – It uses what it learned to make guesses on new data
Example: “This new photo is a cat”
Everyday examples of machine learning
📺 YouTube/Netflix recommendations
📧 Email spam filters
📱 Face recognition on phones
🗣️ Voice assistants (Siri, Alexa)
🛒 Online shopping suggestions
Main types of machine learning
Supervised learning
Learns from labeled data (answers are provided)
Example: predicting test scores
Unsupervised learning
Finds patterns without labels
Example: grouping similar songs
Reinforcement learning
Learns by trial and error with rewards
Example: game-playing AI
Why machine learning is important
Handles huge amounts of data
Improves over time
Helps automate complex tasks
Used in science, medicine, gaming, and more
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