Data Skeptic
A podcast by Kyle Polich
592 Episodio
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Eye Tracking in Recommender Systems
Pubblicato: 18/12/2025 -
Cracking the Cold Start Problem
Pubblicato: 08/12/2025 -
Designing Recommender Systems for Digital Humanities
Pubblicato: 23/11/2025 -
DataRec Library for Reproducible in Recommend Systems
Pubblicato: 13/11/2025 -
Shilling Attacks on Recommender Systems
Pubblicato: 05/11/2025 -
Music Playlist Recommendations
Pubblicato: 29/10/2025 -
Bypassing the Popularity Bias
Pubblicato: 15/10/2025 -
Sustainable Recommender Systems for Tourism
Pubblicato: 09/10/2025 -
Interpretable Real Estate Recommendations
Pubblicato: 22/09/2025 -
Why Am I Seeing This?
Pubblicato: 08/09/2025 -
Eco-aware GNN Recommenders
Pubblicato: 30/08/2025 -
Networks and Recommender Systems
Pubblicato: 17/08/2025 -
Network of Past Guests Collaborations
Pubblicato: 21/07/2025 -
The Network Diversion Problem
Pubblicato: 06/07/2025 -
Complex Dynamic in Networks
Pubblicato: 28/06/2025 -
Github Network Analysis
Pubblicato: 22/06/2025 -
Networks and Complexity
Pubblicato: 14/06/2025 -
Graphs for Causal AI
Pubblicato: 24/05/2025 -
Power Networks
Pubblicato: 16/05/2025 -
Unveiling Graph Datasets
Pubblicato: 08/05/2025
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.
