The Role of Historical Data in Machine Learning
Historical data serves as the backbone of machine learning (ML) algorithms, enabling them to learn from past experiences and make predictions or classifications for future events. In machine learning, historical data refers to previously collected information that includes patterns, behaviors, and outcomes from past interactions, events, or actions. By feeding this data into ML models,…