Teach JS About Aesthetics with Machine Learning

Explore the intersection of machine learning and aesthetics in this 32-minute conference talk from Reject.JS 2014 in Berlin. Dive into the fundamental concepts and algorithms of machine learning, moving beyond traditional artificial intelligence to the era of big data. Discover how to apply these principles to frontend development, focusing on selecting the best photos for a photo-sharing site. Gain practical insights into making informed compromises in pursuit of aesthetically-intelligent machines, without delving into complex mathematical derivations. Learn how machine learning powers everyday applications and how to harness its potential in JavaScript development.

Jonathan Martin – Teach JS About Aesthetics with Machine Learning [Reject.JS 2014]