Machine Learning Basics

Welcome to the section on Machine Learning Basics. Here, we provide an overview of the fundamental concepts and techniques in machine learning.

What is Machine Learning? Machine learning is a field of artificial intelligence that gives computers the ability to learn and improve from experience without being explicitly programmed.
Types of Machine Learning
- Supervised Learning: The computer is trained on a labeled dataset, meaning each data point is paired with the correct output.
- Unsupervised Learning: The computer is given data without explicit instructions on what to do with it, and it has to figure out what to do itself.
- Reinforcement Learning: The computer learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Applications of Machine Learning
- Natural Language Processing: Used in applications like chatbots and language translation.
- Image Recognition: Used in self-driving cars and medical image analysis.
- Predictive Analytics: Used in stock market trading and customer behavior analysis.
Further Reading For more in-depth information, check out our Machine Learning Tutorial.