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Introduction

In this article, we will explore the fundamentals of machine learning, including its definition, key concepts, and some popular algorithms.

What is Machine Learning?

Machine learning is a subset of artificial intelligence that enables systems to learn from data and improve their performance over time without being explicitly programmed.

Key Concepts

1. Supervised Learning: Involves learning from labeled data.
2. Unsupervised Learning: Involves learning from unlabelled data.
3. Reinforcement Learning: Learning through trial and error.

Popular Algorithms

• Linear Regression: Used for predicting a numerical value.
• Decision Trees: A model that makes decisions based on feature conditions.
• Neural Networks: Used for complex pattern recognition tasks.

Conclusion

Machine learning is transforming various industries by providing powerful tools for analyzing data and making predictions.