Better algorithms, increased parallelism, higher levels of abstraction, execution on graphics processing units (GPUs), and use of AI and machine learning ... multiple times and therefore benefited ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

This project implements a complete machine learning pipeline—from ... (Random Forest), and number of estimators and learning rate (AdaBoost) can be tuned via grid search or random search. Multiple ...

Conventional Linear Model,Crime Data,Crime Patterns,Crime Prevention,Crime Rates,Crime Statistics,Decision Tree,Feature Importance Scores,Gradient Boosting,Gradient Boosting Decision Tree,Large ...

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

Integrating drilling signals with an AdaBoost algorithm, this research improves real-time predictions of rock strength, ...

Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...