Nature

Evaluating algorithms of decision tree, support vector machine and regression for anode side catalyst data in proton exchange membrane water electrolysis

In recent years, concerns about global warming and its various environmental impacts, such as polar ice melting, acid rain, and rising sea levels, have become a primary focus for scientists. These ...
Nature

Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students

Public health (PH) is a priority in all societies worldwide. It is a branch of healthcare concerned with preserving and enhancing the health of the population. A key element of any effective and ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...