Logo Alexander Thamm
Logo Alexander Thamm

data.blog - Facts about Data Science & Artificial Intelligence

Why, AI? The basics of Explainable AI (XAI)

So in theory, with XAI methods and the right know-how, even complex black-box models can be at least partially interpreted. But how does it look in reality? In many projects or use cases, interpretability is an important pillar of the overall success. Security aspects, lack of trust in the model results, possible future regulations as well as ethical concerns ensure the need for interpretable ML models.

Data cleansing: compactly explained

Today, data quality and consistency have become fundamental to data mining and business intelligence processes. Data cleansing plays a key role in significantly improving data quality and consistency.

Text mining: applications and techniques

Text mining is a fundamental process in today's numerous data mining applications, enabling organisations to harness the full potential of their unstructured text data. This article explains what text mining...

European AI Act

Technological and legal advice