Tag: Machine Learning

Applying geospatial data for Machine Learning, with a focus on social good

In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The first talk was by Paulo Maia, on the 28th of June, with the topic “Applying geospatial data for Machine Learning, with a focus on social good”. In case you weren’t able […]

Written by on Jul 16, 2020

Experiment Management and Reproducible Research

In this tutorial, we will discuss how can we achieve reproducible data pipelines and research while keeping track of the experiments that lead to reproducible production Machine Learning models. We will go over all the popular tools we use available and do a small demo of how we can use these tools (e.g., DVC, Pachiderm, […]

Written by on Jul 13, 2020

A leaking faucet showing a careless management of water sources, typical behavior on fraud detection

Who is tampering your meters? Fraud detection in Utilities

Meter tampering is a common threat to the business side of utility services and a public security threat, incurring uncontrolled tweaks that may increase the risk of accidents. So, fraud detection is core for any utility service company. The presence of users that manipulate the network typically translates to an increased service price for the […]

Written by on Jun 19, 2020

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 the domain knowledge that is already available and how to embed that knowledge in the models. In this blogpost, we will cover how we created […]

Written by on Apr 6, 2020

Appendix: Embedding Domain Knowledge for Estimating Customer Lifetime Value

This is an appendix to the blog post Embedding Domain Knowledge for Estimating Customer Lifetime Value. We will describe some alternatives we considered for solving the proposed problem, but did not end up being implemented. First, let’s assume we have a pre-trained model for estimating the probability of the target and . Estimating Lifetime Value using […]

Written by on Apr 6, 2020