Geographic Context Allows for Machine Learning to Better Understand the Physical World

Machine learning is different from traditional computation because it allows the computer to perform more advanced analysis of data, with or without the supervision of human operators. Supervised machine learning involves a human operator providing the computer with data, and then instructing the analytical software to look for specific information or answer more narrowly focused questions. Unsupervised machine learning is the most exciting. It involves giving a computer freedom to suck up data as needed, including real-time information. Then, it constantly runs analysis to find new patterns, discover new opportunities and report comprehensive information to decision-makers.