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Artwork for Data Skeptic

Data Skeptic

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

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 monthlyEpisodes596Founded12 years ago
Number of ListenersCategories
ScienceMathematicsTechnology

Listen to this Podcast

Artwork for Data Skeptic

Latest Episodes

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

In this episode, we explore the fascinating world of recommender systems and algorithmic fairness with David Liu, Assistant Research Professor at Cornell University's Center for Data Science for Enterprise and Society. David shares insights from his ... more

In this episode, Kyle Polich sits down with Cory Zechmann, a content curator working in streaming television with 16 years of experience running the music blog "Silence Nogood." They explore the intersection of human curation and machine learning in ... more

Key Facts

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Contact Information
Podcast Host
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Find out how many people listen to this podcast per episode and each month.

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Recent Guests

Roan Schellingerhout
Fourth year PhD student at Maastricht University studying explainable multi-stakeholder recommender systems.
Maastricht University
Episode: Healthy Friction in Job Recommender Systems
Cory Zechmann
Content curator and music blogger, who has worked with streaming services and has his own music blog.
Slink TV, Silence Nogood
Episode: Video Recommendations in Industry
Santiago de Leon Martínez
Spanish-American researcher at the Kempelin Institute of Intelligent Technologies and Brno University of Technology, focusing on eye tracking and AI.
Kempelin Institute of Intelligent Technologies
Episode: Eye Tracking in Recommender Systems
Alberto Carlo Mario Mancino
Postdoc researcher devoted to recommender systems
SysInflab Laboratory
Episode: DataRec Library for Reproducible in Recommend Systems
Aditya Chichani
Senior Machine Learning Engineer at Walmart with a focus on recommender systems.
Walmart
Episode: Shilling Attacks on Recommender Systems
Ashmi Banerjee
Doctoral candidate at Technical University of Munich specializing in recommender systems and sustainable tourism.
Technical University of Munich
Episode: Sustainable Recommender Systems for Tourism
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?

Host

Kyle
A committed host who navigates complex topics related to data science and artificial intelligence, focusing on providing insights and accessible explanations.

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 Kingdom10 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 States3 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.

There is a consistent recognition of the host's ability to cater to a wide range of data science knowledge levels.
Listeners appreciate the informative nature of the discussions, often describing the content as insightful and engaging.
Some feedback indicates a desire for improved audio quality and more polished co-host dynamics.

Chart Rankings

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

Apple Podcasts
#190
United States/Technology
Apple Podcasts
#201
United Kingdom/Technology
Apple Podcasts
#86
South Africa/Technology
Apple Podcasts
#89
Netherlands/Technology
Apple Podcasts
#106
Brazil/Technology
Apple Podcasts
#116
Saudi Arabia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Fairness in PCA-Based Recommenders
Q: How does PCA lead to unfairness in recommender systems?
PCA optimizes for the best overall approximation of data, which can neglect subgroups of users, harming those whose preferences are not as common.
Fairness in PCA-Based Recommenders
Q: What does it mean for a recommender system to be unfair?
It refers to how the system's recommendations might not adequately capture the preferences of niche or minority users, leading to suboptimal outputs for these groups.
Video Recommendations in Industry
Q: What do you think makes a good recommendation system?
He emphasizes the mix of machine learning with human insight to balance familiarity and discovery in recommendations.
Video Recommendations in Industry
Q: Can you describe the role of a curator?
Zechmann describes curation as a process of capturing, organizing, distilling, and expressing content, akin to how machines retrieve and organize data for recommendations.
Eye Tracking in Recommender Systems
Q: What do people use eye tracking technology for?
It's used in various fields including studying how expert drivers interact with controls in vehicles.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Data Skeptic

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

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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How many subscribers and views does Data Skeptic have?

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Which podcasts are similar to Data Skeptic?

These podcasts share a similar audience with Data Skeptic:

1. Practical AI
2. NVIDIA AI Podcast
3. This Day in AI Podcast
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. The a16z Show

How many episodes of Data Skeptic are there?

Data Skeptic launched 12 years ago and published 596 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Data Skeptic?

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What guests have appeared on Data Skeptic?

Recent guests on Data Skeptic include:

1. Roan Schellingerhout
2. Cory Zechmann
3. Santiago de Leon Martínez
4. Alberto Carlo Mario Mancino
5. Aditya Chichani
6. Ashmi Banerjee
7. Kunal Mukherjee
8. Sabrina Guidotti

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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