Archives for Incremental Machine Learning
"A lot of machine learning research has detached itself from solving real problems, and created their own "benchmark-islands"."
In this article, we will discuss the uplift modelling, its types of modelling, and Python-based package called CausalML can be used to address the causal inference.
A Hoeffding tree is an incremental decision tree that is capable of learning from the data streams. The basic assumption about the data is that data is not changing over time helps in building a Hoeffding tree