Machine Learning Basics

Machine learning is a branch of artificial intelligence (AI) that focuses on building systems that can learn from data. It's a field that has seen rapid growth and is widely used in various industries.

What is Machine Learning?

Machine learning is the process of teaching a computer to learn from data, without being explicitly programmed. The computer uses algorithms to analyze data, learn from it, and make decisions or predictions based on that data.

Types of Machine Learning

Supervised Learning: The computer is trained on labeled data, meaning the data has been tagged with the correct output.
Unsupervised Learning: The computer is trained on data without labels, and it tries to find patterns and relationships in the data.
Reinforcement Learning: The computer learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.

Common Applications

Image Recognition: Identifying objects in images, such as in self-driving cars.
Natural Language Processing (NLP): Understanding and generating human language, such as in chatbots.
Recommendation Systems: Suggesting items to users, such as in streaming services.

Resources

For more information on machine learning, you can check out our Machine Learning Tutorial.