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 (https://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

The Super Data Science Podcast: Machine Learning | AI | Success

619: Tools for Deploying Data Models into Production

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

619: Tools for Deploying Data Models into Production

Super Data Science: ML & AI Podcast with Jon Krohn