Continuous Machine Learning refers to a subset of Machine Learning which involves training models on a continuous basis, allowing them to continually update with new data and learn from it. This can be accomplished by having models run continuously in the background, monitoring for new data and retraining on the data as it comes in. This type of Machine Learning is particularly useful for time-sensitive applications, such as predictive analytics or anomaly detection, as it allows for a much more accurate and up-to-date model.