GitHub

SPIDER: Scalable Probabilistic Inference for Differential Earthquake Relocation

SPIDER is a state-of-the-art Python toolkit for probabilistic earthquake location using deep learning and MCMC sampling. It combines neural network-based travel time prediction with scalable Bayesian ...
IEEE

A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Abstract: The Level 1 brightness temperature data from the FY-3D (Fengyun-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean surfaces in ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
Hosted on MSN

Python physics: Create a linear regression function using VPython

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...
IEEE

Research on pet market forecasting problem based on multiple linear regression and ARIMA model

Abstract: The research on pet market forecasting is to use appropriate models and algorithms to predict future information, which is of great significance for the pet industry to formulate development ...