Machine learning is a subset of Artificial Intelligence that enables computers to learn from data, identify patterns, and make decisions without explicit programming.
Machine learning differs from traditional programming as it can handle tasks like recognizing images, which are too complex for rule-based programming.
There are three types of machine learning: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
Steps involved in a machine learning project include problem identification, data collection, data cleaning, model selection, training, evaluation, tuning, and deployment.