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