Rephonic
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
Survey Methodology
HCI (human-Computer Interaction)
AI Ethics
Ethical AI
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 monthlyEpisodes591Founded11 years ago
Number of ListenersCategories
MathematicsScienceTechnology

Listen to this Podcast

Artwork for Data Skeptic

Latest Episodes

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

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

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?
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

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 Kingdom8 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.

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
#145
United States/Technology
Apple Podcasts
#132
United Kingdom/Technology
Apple Podcasts
#142
Australia/Technology
Apple Podcasts
#168
Italy/Technology
Apple Podcasts
#171
Germany/Technology
Apple Podcasts
#36
Saudi Arabia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Designing Recommender Systems for Digital Humanities
Q: How will you measure the success of the system?
We will use classic evaluation metrics like root mean square deviation or error, especially regarding fairness among different user groups.
Designing Recommender Systems for Digital Humanities
Q: Could you share a few details on what you're studying in your PhD?
I'm focusing on recommender systems for the digital humanities, particularly on multi-stakeholder recommender systems and the information-seeking behavior of specific groups of users.
DataRec Library for Reproducible in Recommend Systems
Q: What does it typically consist of?
Preprocessing strategies involve retaining users with a minimum number of interactions and filtering rare items.
DataRec Library for Reproducible in Recommend Systems
Q: Could you say a few things about your specific areas of interest?
I started with knowledge aware recommender systems and moved to graph-based recommenders.
Shilling Attacks on Recommender Systems
Q: How can you detect shilling attacks?
Detection involves analyzing user behavior patterns and identifying discrepancies between genuine user interactions and those of suspected shilling profiles.

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.

Where can I find podcast stats for Data Skeptic?

Rephonic provides a wide range of podcast stats for Data Skeptic. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data Skeptic and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Data Skeptic get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Data Skeptic, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Data Skeptic?

Rephonic provides comprehensive predictive audience data for Data Skeptic, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Data Skeptic have?

To see how many followers or subscribers Data Skeptic has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Data Skeptic?

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

How many episodes of Data Skeptic are there?

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.

How do I contact Data Skeptic?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Data Skeptic?

Rephonic pulls ratings and reviews for Data Skeptic from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Data Skeptic?

Rephonic provides full transcripts for episodes of Data Skeptic. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Data Skeptic?

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

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.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days