
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
| Publishes | Twice monthly | Episodes | 598 | Founded | 12 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | MathematicsTechnologyScience | |||

Ervin Dervishaj, a PhD student at the University of Copenhagen, discusses his research on disentangled representation learning in recommender systems, finding that while disentanglement strongly correlates with interpretability, it doesn't consistent... more
Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest m... more
Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche use... more
In this episode, host Kyle Polich speaks with Roan Schellingerhout, a fourth-year PhD student at Maastricht University, about explainable multi-stakeholder recommender systems for job recruitment. Roan discusses his research on creating AI-powered jo... more
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I just absolutely love the show and I’m just wondering if maybe you can cover as a topic sub polynomial compute for graph networks?
I am not a data scientist, but I very much enjoy the podcast! It is fascinating, the interviewer’s really know their field and it has provided me with topics that could be interesting to follow-up. If you are interested in technology, or a student, then this is a podcast that is well worth following and listening to. Top marks!
great
Listen it to learn industry English and new technology . Really good for me
A colleague introduced me to Data Skeptic last year and I’ve been enjoying the episodes. Kyle’s good at covering topics from many levels of data science understanding—his mini series with a non-data scientist are a great way to learn the basics!
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Listeners, social reach, demographics and more for this podcast.
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This podcast features insightful discussions and interviews on topics surrounding data science, machine learning, artificial intelligence, and statistics. Focusing on the application of critical thinking and the scientific method, each episode evaluates the claims and methods used in data collection and analysis, ensuring accuracy and relevancy. Listeners can expect a blend of expert opinions, case studies, and research findings that highlight the importance of rigorous investigation in the field of data-driven technologies. The podcast is especially notable for its emphasis on fairness, ethics, and the interaction between technology and user experiences, making it a rich resource for tech enthusiasts and professionals alike.
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These podcasts share a similar audience with Data Skeptic:
1. Practical AI
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4. The a16z Show
5. The AI Daily Brief: Artificial Intelligence News and Analysis
Data Skeptic launched 12 years ago and published 598 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Data Skeptic include:
1. Ekaterina Filadova
2. Roan Schellingerhout
3. Cory Zechmann
4. Santiago de Leon Martínez
5. Alberto Carlo Mario Mancino
6. Aditya Chichani
7. Ashmi Banerjee
8. Kunal Mukherjee
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