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 ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery, and relentless research ...

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 ...