Machine Learning: Teaching Machines to Learn from Data

Machine learning is a subfield of artificial intelligence that enables machines to learn from data and improve over time without being explicitly programmed. By analyzing patterns in large datasets, ML algorithms can make predictions, detect anomalies, and even generate content.

Common applications of machine learning include spam detection, fraud prevention, facial recognition, and recommendation systems. Tools like TensorFlow and scikit-learn make it easier than ever for developers to build intelligent applications. However, the quality of data and the interpretability of models remain ongoing challenges.