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Data Skeptic

Kyle Polich
Large Language Models
Artificial Intelligence
Machine Learning
Generative AI
Github Copilot
Natural Language Processing
Avanade
C. Elegans
Data Science
Programming
AI In Software Development
Usability Research
Microsoft
Oil and Gas Industry
Artificial General Intelligence
Survey Methodology
HCI (human-Computer Interaction)
Ethical AI
Data Democratization
AI Ethics

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.

PublishesTwice monthlyEpisodes585Founded11 years ago
Number of ListenersCategories
MathematicsTechnologyScience

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Artwork for Data Skeptic

Latest Episodes

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while... more

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommenda... more

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender n... more

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how... more

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Recent Guests

Kunal Mukherjee
Postdoctoral research associate at Virginia Tech focusing on graph-based intrusion detection and explanations in AI recommendations.
Virginia Tech
Episode: Interpretable Real Estate Recommendations
Sabrina Guidotti
Master student in computer science at the University of Milano, Bicocca
University of Milano, Bicocca
Episode: Why Am I Seeing This?
Dimitri Ognibene
Director of the Bicone Club at the University of Milano, Bicocca
University of Milano, Bicocca
Episode: Why Am I Seeing This?
Antonio Purificato
A second-year PhD student focused on recommender systems and environmental impacts of deep learning.
University of La Sapienza, Rome; Amazon Research
Episode: Eco-aware GNN Recommenders
Pål Grønås Drange
Associate Professor at the University of Bergen in the Department of Informatics
University of Bergen
Episode: The Network Diversion Problem
Baruch Barzel
Professor of Mathematics and Physics at Bar-Ilan University in Israel.
Bar-Ilan University
Episode: Complex Dynamic in Networks
Gabriel Ramirez
Manager for the notifications team at GitHub
GitHub
Episode: Github Network Analysis
Armin Pournaki
Joint PhD candidate at the Max Planck Institute for Mathematics and Sciences and Laboratoire Lattice and the Sciences Pour Media Lab in Paris.
Max Planck Institute for Mathematics and Sciences
Episode: Actantial Networks
Utkarshani Jaimini
Graduate student at University of South Carolina focused on Causal Neuro-Symbolic AI.
University of South Carolina
Episode: Graphs for Causal AI

Host

Kyle Politz
Host and primary interviewer, known for his comprehensive understanding of data science and machine learning topics.

Reviews

4.6 out of 5 stars from 1k ratings
  • A gem of a podcast

    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!

    Apple Podcasts
    5
    AH24Z
    United Kingdom6 months ago
  • great

    great

    Apple Podcasts
    4
    JVo12
    Canada2 years ago
  • Nice podcast

    Listen it to learn industry English and new technology . Really good for me

    Apple Podcasts
    5
    jiazhi chao
    China2 years ago
  • Great resource

    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!

    Apple Podcasts
    5
    calzone.onsets
    United States2 years ago
  • Data science

    Lots of interviews

    Apple Podcasts
    5
    joey...1989
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The podcast is seen as a great resource for both beginners and advanced listeners interested in data science and AI.
Some critique the audio quality and specific dynamics between the host and co-hosts, suggesting potential areas for improvement.
Listeners appreciate the depth of analysis and the quality of guests, remarking positively on the engaging discussions.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#168
United States/Technology
Apple Podcasts
#90
United Kingdom/Technology
Apple Podcasts
#150
Canada/Technology
Apple Podcasts
#149
Italy/Technology
Apple Podcasts
#155
France/Technology
Apple Podcasts
#236
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Interpretable Real Estate Recommendations
Q: Can you give me some background on how you got involved in the project?
I got involved after observing the changes in the real estate market post-COVID and recognizing the need for users to have better recommendations, including emerging neighborhoods.
Eco-aware GNN Recommenders
Q: Could you describe Code Carbon and how you used it in the work?
Code Carbon is a framework to track CO2 equivalent emissions during model training, providing insights into energy consumption based on regional parameters and hardware specifications.
Eco-aware GNN Recommenders
Q: What first got you interested in recommender systems specifically?
Antonio became interested in recommender systems through his work on sequential recommendation systems and studying ways to improve the state of the art in this area.
Networks and Recommender Systems
Q: What made that an ideal thing for them to study?
The project was initiated by a colleague in response to industry requests for a recommendation system that could handle sensitive data without revealing labels or details.
Github Network Analysis
Q: Can you share a few details on what that role consists of?
Gabriel describes his team as handling most of the communications users receive from GitHub, including notifications for pull requests and discussions.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
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Frequently Asked Questions About Data Skeptic

What is Data Skeptic about and what kind of topics does it cover?

Focusing on the intersection of data science, machine learning, and critical thinking, listeners encounter a mix of insightful interviews and discussions with experts across various fields. The content frequently revolves around complex topics such as recommender systems, network analysis, and the implications of AI, making it an essential resource for those keen on uncovering the intricacies and challenges of these subjects. Notably, the show emphasizes not only the technical aspects but also the societal implications of data-driven technologies, fostering a deeper understanding of how they shape our world.

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Which podcasts are similar to Data Skeptic?

These podcasts share a similar audience with Data Skeptic:

1. Super Data Science: ML & AI Podcast with Jon Krohn
2. DataFramed
3. Data Engineering Podcast
4. Practical AI
5. NVIDIA AI Podcast

How many episodes of Data Skeptic are there?

Data Skeptic launched 11 years ago and published 585 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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What guests have appeared on Data Skeptic?

Recent guests on Data Skeptic include:

1. Kunal Mukherjee
2. Sabrina Guidotti
3. Dimitri Ognibene
4. Antonio Purificato
5. Pål Grønås Drange
6. Baruch Barzel
7. Gabriel Ramirez
8. Armin Pournaki

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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