Max Halford: Online Machine Learning with Creme, Py Data Amsterdam 2019

Machine learning is often presented as a batch problem, where typically you fit a model to a training set and then predict on a test set. However, this approach turns out to be too rigid in practice mostly because in real life data is usually arriving in a sequential manner. Online machine learning is a different approach where the model can be trained on a stream of data. This has many benefits and only a few downsides in comparison with batch machine learning. In this talk, we ll go over the differen