GitHub

StatsPAI: Agent-Native Causal Inference & Econometrics Toolkit for Python

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...
Frontiers

Hybrid attribute-based recommender system for personalized e-learning with emphasis on cold start problem

This article introduces a recommendation system that merges a knowledge-based (attribute-based) approach with collaborative filtering, specifically addressing the challenges of the pure-cold start ...
Frontiers

Adaptive restraint design for a diverse population through machine learning

Using population-based simulations and machine-learning algorithms to develop an adaptive restraint system that accounts for occupant anthropometry variations to further enhance safety balance ...
holisticai

Using Python to Mitigate Bias and Discrimination in Machine Learning Models

Machine learning models can be used in critical applications, such as hiring processes, the judicial system, credit scoring, or facial recognition systems. In these cases, it is essential to ensure ...
Scientific Research Publishing

Mueller, J.P. and Massaron, L. (2016) Machine Learning for Dummies. John Wiley et Sons, Hoboken.

ABSTRACT: Large amount of data has been generated by Organizations. Different Analytical Tools are being used to handle such kind of data by Data Scientists. There are many tools available for Data ...
Scientific Research Publishing

Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R ()

1 Department of Electronics, Computing and Mathematics, University of Derby, Derby, UK. 2 Department of Computer Science and Intelligent Systems, Iwate University, Morioka, Japan. 3 BAC International ...