Artificial neural networks and the internet are intricately woven with beautiful equations, functions, and optimizations.
Neural networks, built on linear algebra, operate through matrix operations, activation functions, and learning through optimization methods like gradient descent and backpropagation.
The internet functions as a giant mathematical graph, with billions of interconnected web pages, utilized for tasks like ranking by search engines using algorithms such as PageRank.
Modern technologies, from recommendation systems to language models, heavily rely on mathematical concepts like matrix factorization and embedding to provide functionalities like content recommendations and language understanding.