Before training a model, my malware classifier could already score 100%. How a leaked filename and duplicate PE headers nearly invalidated the results.
Category: Artificial Intelligence (AI)
97% Accurate and Still Missing Spam
Two spam filters scored over 97% accuracy. One missed 21% of spam. Why accuracy fails on imbalanced data, and what recall and F1 reveal instead.
Detecting Elder Fraud Without Surveilling Elders
Interdisciplinary course integrating criminology, law, and computer science to examine lawful, private AI detection of phone scams against older adults.
How Linear Algebra and Probability Distributions Concepts Are Utilized in Various ML Models
This essay explains how linear algebra and probability distributions form the mathematical foundation of machine learning models. It explores how vectors, matrices, tensors, and probabilistic reasoning enable learning, prediction, and uncertainty handling in modern ML systems.
The Threat of Deepfakes: An Overview of Human Ability to Detect Them
The biggest threat of deepfakes isn’t the AI—it’s your brain. I detail the psychological reasons (like the “seeing-is-believing” bias) why humans fail to detect these fakes. Don’t be fooled. Read the full research!
Building Amazon’s Next-Generation Fulfillment Network
How did Amazon cut shipping costs & boost delivery speed? I break down the Project FC Network Initiative—the massive regionalization effort powered by network optimization, Edge Computing, and AWS cloud. See the business case for next-gen fulfillment. Read the full paper!
Artificial Intelligence in Digital Forensics: Opportunities, Risks, and Future Directions
Analysis of how artificial intelligence enhances digital forensics, including automation, threat detection, associated risks, and future trends in AI-driven investigations.