Data Skeptic
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.
Latest Episode
Designing Recommender Systems for Digital Humanities (23.11.2025)
Previous Episodes
- DataRec Library for Reproducible in Recommend Systems
- Shilling Attacks on Recommender Systems
- Music Playlist Recommendations
- Bypassing the Popularity Bias
- Sustainable Recommender Systems for Tourism
- Interpretable Real Estate Recommendations
- Why Am I Seeing This?
- Eco-aware GNN Recommenders
- Networks and Recommender Systems
- Network of Past Guests Collaborations
- The Network Diversion Problem
- Complex Dynamic in Networks
- Github Network Analysis
- Networks and Complexity
- Graphs for Causal AI
- Power Networks
- Unveiling Graph Datasets
- Network Manipulation
- The Small World Hypothesis
- Thinking in Networks
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