Dot Physics on MSN

Mastering least squares fit and graphing in Python

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts!
IEEE

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks

Abstract: Trajectory similarity computation is critical to various spatial data-related applications. To date, many deep learning-based approaches have been proposed to approximate trajectory ...
India Today

IITs are offering 11 free data science and analytics courses. Join by Jan 26

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

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR–Gα interface

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 ...
IEEE

Graph Learning with Low-rank and Diagonal Structures: A Riemannian Geometric Approach

Abstract: We study the problem of learning graphs in Gaussian graphic models by assuming that the underlying precision matrix has a "low-rank and diagonal" (LRaD) structure. This assumption enjoys a ...