Achieving diverse product recommendations ensuring all users and objects get exposure In this blog post, you’ll learn about some examples of decision processes you can use in recommender systems: do […]
WDL – Solving Social Problems Using Data Science
This blogpost describes the key points of my participation at the 2021 Edition of World Data League. The Tech Moguls Team, composed of me, Tiago Gonçalves, Tomé Albuquerque and Joana […]
Multiple Product Forecasting in the constructions industry
In this blogpost, we will cover a use case in the construction industry related to forecasting the needed materials for a construction and the time in which they will be […]
ML System Design: Federated Learning
NILG.AI, together with Neu.ro decided to try a format similar to a Reading Club, where the topic is not a specific paper but an entire research area. After a short […]
An Introduction to Multiple Instance Learning
Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag, opposedly […]
Reducing Unemployment using AI
With COVID-19, many were affected by the economic crisis and lost their jobs. In Portugal alone, between February and September, there was a 30% increase in unemployment! AI can be […]
Difficult Targets to Optimize: the ROC AUC
In many binary classification problems, especially in domains with highly unbalanced problems (such as the medical domain and rare event detection), we need to make sure our model does not […]
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, […]
Detecting Errors in Insurance Claims
Introduction and Motivation Insurance codes are used by people’s health plan to make decisions about how much your doctor and other healthcare providers should be paid. There is some variety […]
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 […]