In this tutorial, we will discuss how can we achieve reproducible data pipelines and research while keeping track of the experiments that lead to production Machine Learning models. We will […]
Who is tampering your meters? Fraud detection in Utilities
Meter tampering is a common threat to the business side of the utility services as well as a public security threat, incurring in uncontrolled tweaks that may increase the risk […]
Embedding Domain Knowledge for Estimating Customer Lifetime Value
As part of the rise of Deep Neural Networks in the ML community, we have observed an increasing fit-predict approach, where AI practitioners don’t take the time to think about […]
Appendix: Embedding Domain Knowledge for Estimating Customer Lifetime Value
This is an appendix to a blogpost previously published on Embedding Domain Knowledge for Estimating Customer Lifetime Value. We will describe some alternatives we considered for solving the proposed problem, […]
Objectively Estimating Data Quality: A Weakly Supervised Approach
In Artificial Intelligence, it is important to have some measure of the quality of the data we are trying to use. For instance, if we want to classify a […]