Machine learning is a branch of artificial intelligence (AI) that focuses on the development of algorithms that can learn from and make predictions or decisions based on data. Here are some fundamental concepts and terms in machine learning:
- Supervised Learning: A type of machine learning where the algorithm learns from labeled training data.
- Unsupervised Learning: A type of machine learning where the algorithm learns from data that is not labeled.
- Reinforcement Learning: A type of machine learning where an agent learns to make decisions by performing actions and receiving rewards or penalties.
Here are some popular machine learning models:
- Linear Regression: A supervised learning model that predicts a continuous value based on input features.
- Logistic Regression: A supervised learning model that predicts a binary outcome based on input features.
- Neural Networks: A class of algorithms that can model complex patterns in data.
Neural Networks
For more information on machine learning, you can visit our Machine Learning Resources page.