I Love Algorithms: A Machineless Machine Learning Creation Kit You don’t have to know the code, but you do need to know what the code can do.

This kit enables anyone, technical or not, to prototype with machine learning.

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  • Develop Your Design Work
  • K12
  • Emerging Tech
  • Educators
  • Tool

    • Imagine a world where you actually love technology. You love it because it represents you. You were included in its creation. You have influence over its design and applications. 

    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.

    If you understand what machine learning algorithms can do, you can better envision the implications of your designs and influence conversations about data and bias. When students understand what machine learning algorithms can do, they’re better equipped to shape a future in which they understand technology and can make sure it’s used for good (not to mention create their own designs). The I Love Algorithms Creation Kit enables anyone, technical or not, to prototype with machine learning.

    How does it work?

    There are two versions of this Creation Kit, with one specifically for K12 students and educators. 

    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.

    The Creation Kit allows you to manipulate highly technical concepts without screens. In the same way you might prototype a chair by building models out of foam core, or prototype an app with wireframe mock-ups, you can use the I Love Algorithms Creation Kit to prototype with machine learning in low resolution.

    For the K12 version, the creation kit allows you and your students to play with highly technical concepts without screens (and regardless of your technical background!). That means you can facilitate I Love Algorithms even if you don’t have a background in machine learning.

     

     

    I love Algorithms received an honorable mention at the Core77 Design Awards 2019

     

    Credits

    Carissa Carter, Megan Stariha, Mark Grundberg, Ariam Mogos, Kelly Schmutte, Seamus Harte, Asha Lamanque

    Visual Design by Daniel Frumhoff

    Illustrations by Carissa Carter

     

     

     

    LICENSE: PLEASE DO NOT REPURPOSE WITHOUT ATTRIBUTION. ADAPTED FROM THE “I LOVE ALGORITHMS CREATION KIT” BY THE STANFORD D.SCHOOL. LICENSED UNDER CC BY 4.0.