Machine learning enables computers to learn from data without explicit programming. Machine learning algorithms include supervised learning, unsupervised learning, and reinforcement learning. Deep machine learning models can recognize patterns in images and text. Machine learning training requires large datasets and computational resources. Machine learning models generalize from training data to make predictions on unseen examples. Machine learning practitioners tune hyperparameters to improve model accuracy.
