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Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and improve their performance without being explicitly programmed. Instead of following a set of hardcoded instructions, machine learning models use algorithms to identify patterns, make decisions, and perform tasks autonomously. Here's a detailed overview:

Types of Machine Learning
Supervised Learning:

Involves training a model on labeled data, where the input-output pairs are known.
The model learns to predict the output for new, unseen inputs.
Common Algorithms:
Linear Regression
Logistic Regression
Support Vector Machines (SVM)
Decision Trees
Neural Networks
Example: Predicting house prices based on features like size, location, etc.
Unsupervised Learning:

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