Beginner
What is machine learning?
Machine Learning (ML) is a subfield of artificial intelligence in which systems learn patterns from data or experience to make predictions, classifications, recommendations, or decisions without being explicitly programmed for every case.
What is supervised learning?
Supervised learning is a machine learning approach in which a model learns from examples that pair inputs with known target outputs or labels. The model uses those labeled examples to learn mappings that can support prediction, classification, or regression on new data.
How is unsupervised learning different from supervised learning?
Use Supervised Learning when labeled input-output examples exist; use Unsupervised Learning when the goal is to discover structure without labels.
What is reinforcement learning?
Reinforcement Learning (RL) is a machine learning paradigm in which an agent learns to act in an environment by receiving rewards or penalties for its actions. The objective is to learn a policy that maximizes expected cumulative reward over time.