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.

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 terrific article by Fabien Girardin. He shows how designers can work together with big data analysts to benefit from machine learning.

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

O’Reilly published a great mini-book by Patrick Hebron with machine learning basics and design examples. He also has a great vision about new design tools.