Unveiling Graph Datasets

Kyle reveals the next season's topic will be "Recommender Systems". Asaf shares insights on how network science contributes to the recommender system field. 

Kyle and Asaf discuss a project in which we link former guests of the podcast based on their co-authorship of academic papers. 

In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing on specific structural aspects of the input. This framework allows researchers ... Show More

Avery Smith is a passionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “ ... Show More

The Planetary Society has just announced the latest awards in its Science and Technology Enabled by the Public (STEP) Grant program. With regular host Sarah Al-Ahmed on vacation, Mat Kaplan returns to introduce the principal investigator for a project that will prepare us to grow ... Show More

In this DSS Podcast we chat with Matthew Denesuk, SVP of Data Analytics & AI at Royal Caribbean Group. Matthew shares his insights on leveraging a Center of Excellence model to drive data-driven strategies across the organization. Tune in to discover how this approach can transfo ... Show More

Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven scie ... Show More

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Sanyam Bhutani, host of Chai Time Data Science podcast. As h ... Show More

Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson ab ... Show More

Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a d ... Show More

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling car ... Show More

Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work. In this episode you will learn: The genesis of Jeroen’s book [3:24] Data Science at the Command Line [8:55] Creating your own ... Show More

The explosive improvement in artificial intelligence (AI) technology has largely been driven by making neural networks bigger and training them on more data. But experts suggest that the developers of these systems may soon run out of data to train their models. As a result, team ... Show More