NumPy is considered one of the most used scientific libraries, which is why many data scientists rely on it to analyze data. Another great library for machine learning is TensorFlow. It offers a ...

In this research field we are developing advanced computational methods centered around efficient solution strategies for partial differential equations. In numerical analysis, we focus on developing ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing ...

a way to marry the predictive power of machine learning with human intuition. A central tenet of our paper is that hypothesis generation is in and of itself a valuable activity, and hope this ...

Scientists are turning to machine learning to predict diseases, design drugs, and uncover hidden patterns in massive datasets ...

and machine learning (ML) in accelerating the translation of scientific data to policy and practice in food and nutrition. The meeting of experts will focus on the following questions: 1. What is the ...