About Event

Real-Time Machine Learning is the process of training a machine learning model by running live data through it, to continuously improve the model. This is in contrast to “traditional” machine learning, in which a data scientist builds the model with a batch of historical testing data in an mode. Real-time machine learning is useful in scenarios when there is not enough data available upfront for training, and in cases where data needs to adapt to new patterns.