Technology
Jun 7, 2025
1 min read
Machine Learning Fundamentals: Understanding the Basics
Machine learning is transforming industries worldwide. Learn the fundamental concepts and key algorithms that power modern AI applications.
Introduction to Machine Learning
Machine learning is a subset of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed.
Types of Machine Learning
1. Supervised Learning
Supervised learning uses labeled training data to learn a mapping from inputs to outputs.
2. Unsupervised Learning
Unsupervised learning finds hidden patterns in data without labeled examples.
3. Reinforcement Learning
Reinforcement learning learns optimal actions through trial and error in an environment.
Common Algorithms
- Linear Regression
- Decision Trees
- Neural Networks
- K-Means Clustering
Applications
Machine learning is used in various applications including recommendation systems, image recognition, natural language processing, and autonomous vehicles.
