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Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
IEEE

A CMOS Linear Low-Noise Amplifier Using Transformer-Based Second-Harmonic Trap

Abstract: This letter presents second-harmonic termination techniques for inductively source-degenerated cascode CMOS low-noise amplifiers (LNAs) with a transformer (TF)-based harmonic network. The ...
IEEE

A Machine Learning Approach to Rock and Mine Classification in Sonar Systems Using Logistic Regression

Abstract: The classification of underwater objects into rocks or mines is a vital task in naval security, marine exploration, and environmental studies. The current work introduces a machine ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...