Data Skeptic
Un pódcast de Kyle Polich
592 Episodo
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Eye Tracking in Recommender Systems
Publicado: 18/12/2025 -
Cracking the Cold Start Problem
Publicado: 8/12/2025 -
Designing Recommender Systems for Digital Humanities
Publicado: 23/11/2025 -
DataRec Library for Reproducible in Recommend Systems
Publicado: 13/11/2025 -
Shilling Attacks on Recommender Systems
Publicado: 5/11/2025 -
Music Playlist Recommendations
Publicado: 29/10/2025 -
Bypassing the Popularity Bias
Publicado: 15/10/2025 -
Sustainable Recommender Systems for Tourism
Publicado: 9/10/2025 -
Interpretable Real Estate Recommendations
Publicado: 22/9/2025 -
Why Am I Seeing This?
Publicado: 8/9/2025 -
Eco-aware GNN Recommenders
Publicado: 30/8/2025 -
Networks and Recommender Systems
Publicado: 17/8/2025 -
Network of Past Guests Collaborations
Publicado: 21/7/2025 -
The Network Diversion Problem
Publicado: 6/7/2025 -
Complex Dynamic in Networks
Publicado: 28/6/2025 -
Github Network Analysis
Publicado: 22/6/2025 -
Networks and Complexity
Publicado: 14/6/2025 -
Graphs for Causal AI
Publicado: 24/5/2025 -
Power Networks
Publicado: 16/5/2025 -
Unveiling Graph Datasets
Publicado: 8/5/2025
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.
