DSS - Data Science & Strategie

What is concept drift? Concept drift is a problematic phenomenon in which a predictive model’s performance degrades over time due to changes in its environment. To illustrate, a model is trained on historical data and is used to make predictions on unseen data. This model maps the relationship between the input features and the target variable. However, over time, this learned relationship is bound to change.

We just came back from the Data & AI Summit in US. This year it was held in San Francisco with 5000 in-person attendees being joined by more than 70000 virtual attendees. Here are our learning of this event

(written by Justin Zwijns - element61 Trainee in 2022)  

(written by Justin Zwijns - element61 Trainee in 2022) What is process advisor? As a business user, you can use a process advisor as a tool for process mining.

Several tools are available on the market that allow for data annotation. In this article, we will specifically focus on image labeling tools which enable computers to understand digital images or videos also known as computer vision technology. Since the image labeling tool landscape is wide and varied, we will compare six image labeling tools based on six different dimensions.

Why do we still manually implement our ML models, when automated ML tools exist? We've conducted a comparative study between Azure Machine Learning AutoML and Databricks autoML where we evaluate whether these are tools ready to be used, and even more important can these tools deliver value to you and your company?