Machine Learning, Artificial Intelligence, Neural Networks, Data Science, Thought Leadership.
that predictive models trained over these stream data become obsolete and do not adapt suitably to new distributions. Especially in these non-stationary scenarios, there is a pressing need for new algorithms that adapt to these changes as fast as possible, while maintaining good performance scores.