Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
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

Zonotopic Under-Approximations of Input Reachable Sets for Controllable Linear Systems

Abstract: Recent years have seen a surging interest in developing under-approximations of reachable sets due to their potential applications in control synthesis and verification. In this letter, we ...
Hosted on MSN

What Is Linear Regression In Machine Learning ? Understand With Examples

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
powerelectronicsnews

Non-linear Loss Modeling provides Accurate Estimation of SiC Converter Performance

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...
Electronic Design

Modeling on Mondays: SPICE Modeling of Common Active Devices—An Overview (Part 1)

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...
Frontiers

The value of generalized linear mixed models for data analysis in the plant sciences

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...