Statistics for Machine Learning

Statistics for machine learning involves analyzing data to uncover patterns, relationships, and insights. It provides tools to summarize data (like averages and trends), estimate unknowns, and assess the reliability of findings. These techniques help algorithms make predictions, classify information, and improve with experience. Essentially, statistical methods enable machines to learn from data intelligently, making decisions or predictions based on evidence rather than assumptions, which improves accuracy and understandability in real-world applications like recommendations, diagnostics, and forecasting.