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Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/39SddUL.
Victor Dibia provides a friendly introduction to machine learning, covers concrete steps on how front-end developers can create their own ML models and deploy them as part of web applications. He discusses his experience building Handtrack.js - a library for prototyping real time hand tracking interactions in the browser. Filmed at qconsf.com.
Victor Dibia is a Research Engineer with Cloudera’s Fast Forward Labs. Prior to this, he was a Research Staff Member at the IBM TJ Watson Research Center, New York. His research interests are at the intersection of human computer interaction, computational social science, and applied AI.