Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
IEEE

Fast Identification of the Jiles–Atherton Model Parameters and the Electrical Conductivity Based on Gaussian Process Regression

Abstract: Various approaches already exist for identifying the Jiles-Atherton (JA) hysteresis model, typically using optimization algorithms that minimize the deviation of hysteresis curves from a ...
IEEE

A New Three-Parameter Flexible Unit Distribution and Its Quantile Regression Model

Abstract: This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of ...
GitHub

rom-py/rompy-swan

Relocatable Ocean Modelling in PYthon (rompy) is a modular Python library that aims to streamline the setup, configuration, execution, and analysis of coastal ocean models. Rompy combines templated ...
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 ...