IEEE

AutoAI-IDS: A Meta-Learning-Based Approach for Automating Model Selection Process for Network Intrusion Detection Tasks

Abstract: The selection of the appropriate artificial intelligence (AI) model from a variety of different classes of models for network security is a challenging and time-consuming task. In this study ...
GitHub

Python Learning Roadmap in 30 Days

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...
Hacker

Predicting Jet Engine Failure with Python and AutoML

Data Leader for Emerging Technologies, transforming enterprises with latest trending AI/ML technologies.
IEEE

H2O AutoML for Malware Detection: A Signal Processing Perspective on Accuracy, Efficiency, and Interpretability

Abstract: We benchmark H2O AutoML against individual H2O models such as Distributed Random Forest (DRF), Gradient Boosting Machine (GBM), XGBoost, and Deep Learning for Android malware detection using ...