Machine learning teaches computers to recognize patterns and make
decisions automatically using data and algorithms.
It can be broadly categorized into three types:
Supervised Learning: Trains models
on labeled data to predict or classify new, unseen data.
Unsupervised Learning:
Finds patterns or groups in unlabeled data, like clustering or
dimensionality reduction.
Reinforcement Learning: Learns
through trial and error to maximize rewards, ideal for decision-making
tasks.