The rush to put out autonomous agents without thinking too hard about the potential downside is entirely consistent with ...

Abstract: Data set bias not only compromises the fairness, accuracy and effectiveness of trained models, but also leads to a lower performance in real-world scenarios compared to the evaluation ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...