Machine learning is a branch of artificial intelligence (AI) that focuses on the development of computer programs that can access data and use it to learn for themselves.
What is Machine Learning?
Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. It is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
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 the goal is to find structure in the data.
- Reinforcement Learning: The computer learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Key Concepts
- Data: The raw facts and figures that are used to train and test machine learning models.
- Model: A mathematical representation of the relationship between input and output.
- Algorithm: A set of rules and procedures that a machine learning model follows to make predictions.
Getting Started
If you're new to machine learning, we recommend starting with the Machine Learning Tutorial to get a solid foundation.
Machine Learning Workflow
Further Reading
For more in-depth information on machine learning, check out the following resources: