Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: This research presents a machine learning-based approach for spam email detection using TensorFlow Extended. The main goal is to develop an effective and efficient pipeline to differentiate ...

Abstract: An academic contribution to computer science becomes impactful when incorporated into a real software project. For machine learning (ML), open-source frameworks facilitate researchers to ...