Machine learning is a field of computer science that gives computers the ability to learn and improve from experience without being explicitly programmed. Here are some key concepts in machine learning:
Supervised Learning: This is a type of learning where the algorithm learns from a labeled dataset. The goal is to learn a mapping from input to output, such as predicting house prices based on features like size and location.
Unsupervised Learning: In this type of learning, the algorithm is given data without explicit instructions on what to do with it. The algorithm tries to find patterns and relationships in the data.
Reinforcement Learning: This is a type of learning where an agent learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Neural Networks: These are a series of algorithms that attempt to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
For more in-depth learning, you can explore our Machine Learning Tutorials.