Machine Learning Explained Simply (In 12 Minutes)

Machine learning teaches computers to learn from data rather than explicit programming. It involves four key components: data, algorithms, models, and training/evaluation. Different types of learning include supervised, unsupervised, reinforcement, and semi-supervised learning. Quality data is crucial, and algorithms help extract meaningful insights to improve predictions and decisions.