Applications Of Machine Learning For Designers – Smashing Magazine

As a designer, you will be facing more demands and opportunities to work with digital systems that embody machine learning. To have your say about how best to use it, you need a good understanding about its applications and related design patterns. This article illustrates the power of machine learning through the applications of detection, prediction and generation. It gives six reasons why machine learning makes products and services better and introduces four design patterns relevant to such applications. To help you get started, I have included two non-technical questions that will help with assessing whether your task is ready to be learned by a machine. We are expecting a great many things to happen once the big data deluge has been funnelled into a nurturing stream of bits. Data can be used in many ways. One is to build smart products, and another is to make better design and business decisions. The latter also, ultimately, trickle into products. Machine learning is a very promising approach radically shaping future product and service development. Machine learning is a branch of artificial intelligence. It employs many methods: Deep learning and neural networks are two well-known instances.