Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Background: Emerging evidence suggests dietary fiber may prevent cognitive decline, but its dose-response relationship and underlying mechanisms remain unclear. This study investigates the non-linear ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model.

Learn how to iteratively update model parameters (θ) to minimize the Mean Squared Error (MSE) between predicted and actual values. Experiment with different learning ...

Abstract: In the era of cloud computing, accessing virtual computing resources has become increasingly convenient for users to meet their demands. Cloud providers offer two primary payment plans for ...

# How do you derive the Gradient Descent rule for Linear Regression and Adaline? Linear Regression and Adaptive Linear Neurons (Adalines) are closely related to each other. In fact, the Adaline ...

In the process of growth and development in life, gene expressions that control quantitative traits will turn on or off with time. Studies of longitudinal traits are of great significance in revealing ...

ABSTRACT: We consider a functional partially linear additive model that predicts a functional response by a scalar predictor and functional predictors. The B-spline and eigenbasis least squares ...