AI vs Machine Learning: What is the Difference?

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
IEEE

Prediction of the Groundwater Levels Based on Random Forest Regression Algorithm

Abstract: Random forest regression is a widely used machine learning algorithm. In this study, random forest regression is employed to predict groundwater levels. Five influencing factors are ...
GitHub

Akshaylinson/House-Price-Prediction---Linear-Regression-AI-ML

house-price-prediction(linear-regression_p1)/ ├── assets/ # Static assets ├── data/ # Dataset files │ ├── house_prices.csv # Training dataset │ └── house_prices_1M.csv # Large generated dataset ├── ...
IEEE

Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models

Abstract: The widespread adoption of photovoltaic (PV) energy contributes to carbon emissions reduction, cost minimization, and climate change mitigation, particularly in applications such as street ...