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.

Components of a Business: What They Are & Their Relation to IT & Cybersecurity

Every component of a business—from R&D to Sales—is now digitized. This paper details how IT and cybersecurity must move from support roles to strategic partners to drive competitive advantage and control organizational risk. Download the full report!

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!