Machine Learning: From Fundamentals to Real-World Applications Introduction Machine learning (ML) has transformed how we approach problem-solving across industries, from healthcare to finance. This guide explores core ML concepts based on Princeton University’s COS 324 course notes, covering supervised learning, unsupervised learning, deep learning, and reinforcement learning. Whether you’re a student or a professional, understanding these fundamentals will help you leverage data effectively. 1. Supervised Learning: Learning from Labeled Data 1.1 Linear Regression: Predicting Continuous Values What it is: A method to model the relationship between variables using a straight line. Equation: y = a₀ + a₁x₁ + a₂x₂ + …
How Computer Vision Research Powers Surveillance Technology: An Analysis of 19,000 Academic Papers Key Finding: Analysis of 19,000 computer vision papers from CVPR (Conference on Computer Vision and Pattern Recognition) and 23,000 downstream patents reveals that 90% involve human data extraction, with 78% of patented research enabling surveillance technologies. US and Chinese institutions dominate this ethically contested field. I. The Inextricable Link Between CV and Surveillance 1.1 Historical Foundations Computer vision (CV) technology originated in military and carceral surveillance contexts, initially developed for target identification in warfare, law enforcement, and immigration control (Dobson, 2023). Despite claims of being “human vision-inspired …