Explore computational statistics through Swift programming in this conference talk from try! Swift Tokyo 2016. Dive into statistical models for ranking data, bag-of-words techniques for element classification, and Markov Chain algorithms for generating new data points. Follow along as iOS developer Diana Zmuda demonstrates the implementation of exciting mathematical formulas using Swift, culminating in a program capable of sorting, classifying, and generating data. Gain insights into Swift's potential for exploring mathematical concepts and enhancing your programming skills in this 29-minute presentation.
Overview
Syllabus
try! Swift Tokyo 2016 -Train Your Swift: Computational Statistics in Swift Examples
Taught by
try! Swift Conference