Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: In intelligent transportation systems, deep learning is a widely adopted technique for traffic data recovery. In city-wide traffic data recovery tasks, traditional centralized ...

A few years ago, I followed the life of a cheese curd, from milk on a dairy farm to fresh cheese in Ellsworth, Wis., to deep-fried glory at the Fair. On the Fairgrounds, though, there are plenty of ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...