The Batch: Special Issue! Foundational Algorithms, Where They Came From, Where They're Going
Machine learning, like many technical fields, evolves as the community of researchers builds on top of one another's work. Some contributions have staying power and become the basis of further developments. Consequently, everything from a housing-price predictor to a text-to-image generator is built on core ideas that include algorithms (linear and logistic regression, decision trees, and so on) and concepts (regularization, optimizing a loss function, bias/variance, and the like).
