dariusk

Recommendations for ML5

Darius Kazemi, Feb 23 2018

After a few days of poking around at ML5 I have some recommendations for making it a healthier open source project. I am, of course, happy to sit down and talk through any of these recommendations in depth, but I thought I'd get them documented first.

Project management

These are project management, rather than technical, recommendations.

rspeer

atduskgreg

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

• Power to the People: The Role of Humans in Interactive Machine Learning by Knox, Cakmak, Kulesza, Amershi, and Lau
• A Few Useful Things to Know about Machine Learning by Domingos
• Machine Learning that Matters by Wagstaff
• Beyond Concise and Colorful: Learning Intelligible Rules by Pazzani et al.
• [Designing Games with a Purpose] (https://www.cs.cmu.edu/~biglou/GWAP_CACM.pdf) by von Ahn and Dabbish
• [Human Model Evaluation in Interactive Supervised

shiffman

// While this seems like the right idea
// This does not work at all!

// The loop will finish and i will be at 10 by 
// the time the anonymous function is called

for (var i = 0; i < 100; i++) {
  setTimeout(function() {
    console.log(i);
  }, 100*i);