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

Six machine learning (ML) algorithms: Linear Regression, Random Forest, Gradient Boosting, XGBoost, LightGBM (Light Gradient Boosting Machine), and Support Vector Regression were used to train models ...

The integration of Machine Learning stands as a prominent solution to unravel the intricacies inherent to scientific data. While diverse machine learning algorithms find utility ... on high-efficiency ...

Artificial Intelligence has evolved from science fiction to the backbone of modern technology. In 2025, AI powers 85% of customer interactions, drives $15.7 trillion in global economic impact, and ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

algorithm and the extreme learning machine (ELM), is proposed in this study, and the stresses of AZ80 magnesium alloy are predicted by the model through a 812-record dataset. The predicting results ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds compared to traditional models that may require hours or days. The speed of ...

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 ...