What is this?


So… why do I need to know anything about algorithms?

In order for the technologies of today and tomorrow (and all the things they power) to represent all of us, they need to be built by all of us. You don’t need to be the coder, but you need to know what the code can do.

If you understand what machine learning algorithms can do, you can better envision the implications of your designs. You can influence conversations about data and bias.

This card deck explains six common machine learning algorithms: Classification, Clustering, Reinforcement Learning, Dimensionality Reduction, Regression, and Association. Each algorithm is explained in three ways: (1) Cartoon, (2) Simple text description (3) Styles of questions you might ask that the algorithm might service. We’ve done multiple iterations of this deck incorporating feedback from machine learning experts and a range of users. All workshop participants receive a deck and it is now available as a standalone resource too.