Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...