Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant.
This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• The data problem that Erik’s company Modal Labs solves [04:32]• Erik’s prolific blogging career [09:15]• Opportunities for making data teams more efficient and productive [14:42]• Erik’s views on interviewing data scientists and software developers [20:18]• Erik’s tips and tricks for data science interviewees [31:35]• How Erik built Spotify’s original music recommendation system [38:58]• Applying vectors to other tools, and opportunities for working with vectors [47:45]• Using Annoy to search across vectors [50:57]• Building Python module Luigi for Spotify [55:20]• The tools that Erik loves to work with [1:06:23]
Additional materials: www.superdatascience.com/619

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