
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 | 591 | Founded | 11 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | MathematicsScienceTechnology | |||

In this episode of Data Skeptic, we dive deep into the technical foundations of building modern recommender systems. Unlike traditional machine learning classification problems where you can simply apply XGBoost to tabular data, recommender systems r... more
In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-Baumgartner, a PhD student at Graz University of Technology. Florian is working on Monasterium.net, E... more
In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich explores DataRec, a new Python library designed to bring reproducibility and standardization to recommender systems research. Guest Alberto Carlo Maria Mancino, a postdoc ... more
In this episode of Data Skeptic's Recommender Systems series, Kyle sits down with Aditya Chichani, a senior machine learning engineer at Walmart, to explore the darker side of recommendation algorithms. The conversation centers on shilling attacks—a ... more
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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!
Lots of interviews
Key themes from listener reviews, highlighting what works and what could be improved about the show.
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A podcast focusing on the intersection of data science, statistics, machine learning, and artificial intelligence, it features a range of guests from academia and industry. Episodes explore various aspects of recommendation systems, user behavior, and ethical considerations in AI, providing listeners with deep insights into the methodologies and challenges present within the field. The discussions commonly center around practical applications of data approaches, fostering a critical understanding of their impact and usefulness.
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These podcasts share a similar audience with Data Skeptic:
1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. Practical AI
4. Data Engineering Podcast
5. Talk Python To Me
Data Skeptic launched 11 years ago and published 591 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. Alberto Carlo Mario Mancino
2. Aditya Chichani
3. Ashmi Banerjee
4. Kunal Mukherjee
5. Sabrina Guidotti
6. Dimitri Ognibene
7. Antonio Purificato
8. Pål Grønås Drange
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