What is Machine Learning (ML)?
ML (Machine Learning) is a subcategory of AI using algorithms and statistical models that enable systems to improve their performance through experience – in facilities, learning patterns from sensor data to enable predictive analytics.
Machine Learning
Technical Definition: A subcategory of AI dealing with algorithms and statistical models that enable systems to improve their performance through experience, without being explicitly programmed for each scenario. ML requires large amounts of training data, which in facilities comes from sensors and operational systems.
Why it matters: ML enables pattern recognition that goes beyond traditional rule-based systems. Detecting early signs of equipment failure, or optimising heating patterns based on occupancy history, require the learning capability that ML provides.
HubMind’s view: ML is only as good as the data it is trained on. Before investing in ML tools, we ensure the underlying data is correct, complete and consistently structured over a sufficient time period.
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