6.3 Overview of Machine Learning
Machine learning is a subfield of Data Science that enables systems to improve from experience without explicit programming. It involves analyzing patterns in data to make predictions or decisions. Large datasets are used to train models, which adapt and improve over time as new data is introduced. This technique is widely applied in modern applications, supporting automation and intelligent systems. Instead of predefined rules, machine learning allows systems to learn from examples, identifying patterns that guide predictions. As the system processes more data, it becomes more accurate and efficient, powering smart applications and reducing manual work.