Machine Learning and Artificial Intelligence algorithms are currently applied in almost every industry, integrating numerous Value Chains that depend on their decisions. However, despite the continuous advances in the state-of-the-art, […]
Automated Valuation Models for Real Estate
When we decide to buy or rent a real estate (apartment, room, house, etc), one of the most important search criteria is the price. Its value depends mostly on characteristics, […]
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 […]
Crop monitoring & AI: The future of agriculture
Agriculture’s role and its importance is not strange to any of us. Besides feeding us all, it allowed the first settlements and the transition from a nomad lifestyle to a […]
Address validation for optimizing delivery success rate
In recent years, the e-commerce industry has been increasing significantly in several sectors like food, retailing and electronics. In the latter part of 2020, this increase has been even […]
An AI-Based Image Content Retrieval System
Similarity measurement is the basis for any information retrieval, management, or data mining system. Both in industry and in the scientific community, similarity detection has been shown to be […]
Embedding Domain Knowledge
In the good old days, working as a Machine Learning Engineer meant working 95% of the time on feature engineering and 5% on training models with the extracted features. This […]
An Overview of Churn Prediction
Churn prediction – tandem with engagement – is probably the most wanted use case we get from Marketing departments across industries. For those of you that do not know what […]
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 […]