Machine Learning (ML) is a dynamic and rapidly evolving branch of artificial intelligence. It focuses on developing algorithms that enable systems to learn from data and make predictions or decisions without being explicitly programmed for each task. These algorithms, including neural networks and decision trees, analyze patterns within the data, improving their performance over time through continuous learning.

The applications of ML are vast and varied, impacting numerous fields. In healthcare, ML assists in diagnosing diseases by analyzing medical images and patient records. In finance, it detects fraudulent transactions by recognizing unusual patterns. In technology, ML enhances user experiences by personalizing recommendations and search results. As these models are trained on new data, they become increasingly accurate and efficient, showcasing the transformative potential of machine learning in our everyday lives.