Machine Learning is the study of computer algorithms that improve automatically through experience. It involves the development of models that can learn from and make predictions or decisions based on data. Machine learning encompasses a variety of techniques, including supervised learning (where models are trained on labeled data), unsupervised learning (where models identify patterns in unlabeled data), and reinforcement learning (where models learn through trial and error interactions with an environment). Applications of machine learning range from image and speech recognition to recommendation systems and autonomous vehicles. The ability of machine learning models to adapt and improve over time makes them powerful tools for solving complex problems and extracting valuable insights from large datasets.