For example, if you’re ... Machine learning algorithms train on data to find the best set of weights for each independent variable that affects the predicted value or class.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

This repository contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained. Each algorithm has interactive Jupyter Notebook demo that ...

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained. The purpose of this repository was not to ...

This study aims to highlight the effectiveness and feasibility of multiple machine learning algorithms in solving real-world problems by comparing their application examples. The team collected data ...