Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on building systems that learn from and make decisions based on data. It involves the use of algorithms and statistical models to enable computers to improve their performance on tasks over time with experience.
Supervised Learning: Involves training a model on labeled data, where the correct output is known for each example in the training dataset.
Unsupervised Learning: Involves using algorithms to identify patterns in data without being given specific output labels.
Reinforcement Learning: Involves training agents to make sequences of decisions by rewarding them for correct actions and penalizing them for incorrect ones.