619: Tools for Deploying Data Models into Production
Show notes
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
Guests
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