#DeployingModels #SpotifyRecommendationSystem #DataScienceInterview
@JonKrohnLearns 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 digital music startup to AI-driven streaming giant.
This episode is brought to you by Datalore (datalore.onlin..., the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascien..., the AI driven leadership coach.
Interested in sponsoring a SuperDataScience Podcast episode? Visit www.jonkrohn.c... for sponsorship information.
In this episode you will learn:
• The data problem that Erik’s company Modal Labs solves [02:39]
• Erik’s prolific blogging career [07:22]
• Opportunities for making data teams more efficient and productive [12:49]
• Erik’s views on interviewing data scientists and software developers [18:24]
• Erik’s tips and tricks for data science interviewees [29:41]
• How Erik built Spotify’s original music recommendation system [37:04]
• Applying vectors to other tools, and opportunities for working with vectors [45:51]
• Using Annoy to search across vectors [49:03]
• Building Python module Luigi for Spotify [53:26]
• The tools that Erik loves to work with [1:04:29]
Additional materials: www.superdatas...
5 окт 2024