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.
Category: Artificial Intelligence (AI)
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.