Class Central analyzed online courses on machine learning and selected the best.

A fantastic overview of design process for products that use machine learning from Josh Lovejoy and Jess Holbrook. Here's a case study that applies these principles to Google Clips camera.

Lassi Liikkanen shows 3 key applications: detection, prediction, and generation.

Microsoft inclusive design team defined five biases for AI: dataset, association, automation, interaction, and confirmation.

Ed Hess says that the new smart will be determined not by what or how you know but by the quality of your thinking, listening, relating, collaborating, and learning.

Drew Thomas tries to find a niche for design agencies in the world of cheap websites built by advanced online builders.

Lukasz Lysakowski digs through a history of design automation from book printing to modern days.

Jon Bruner gives a good example: A genetic algorithm starts with a fundamental description of the desired outcome — say, an airline’s timetable that is optimized for fuel savings and passenger convenience.

A great visual overview of machine learning basics by Stephanie Yee and Tony Chu.

A good article series by Rob Girling from Artefact. He looks at skills that can be automated and tries to predict the future of design as s profession.