Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

If you want to become an AI genius – the kind that Mark Zuckerberg offers $50–$100 million to join his quest for artificial ...

Safe reinforcement learning aims to ensure the optimal performance while minimizing potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a key challenge ...

Low-dimensional discriminative representations enhance machine learning methods in both performance and complexity. This has motivated supervised dimensionality reduction (DR), which transforms ...