Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Abstract: Ordinal regression (OR), also called ordinal classification ... In this article, we address an active learning based solution for imbalanced OR problem. We propose an active learning ...

Discover how to prepare for a career in data science with key skills, trends, and strategies tailored for 2025 and beyond.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

In this paper, we propose a novel path loss model based on multi-dimensional Gaussian process regression (GPR) that gives spatial consistency to channels in propagation environment by predicting local ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...