Data Skeptic
Podcast autorstwa Kyle Polich
592 Odcinki
-
Eye Tracking in Recommender Systems
Opublikowany: 18.12.2025 -
Cracking the Cold Start Problem
Opublikowany: 8.12.2025 -
Designing Recommender Systems for Digital Humanities
Opublikowany: 23.11.2025 -
DataRec Library for Reproducible in Recommend Systems
Opublikowany: 13.11.2025 -
Shilling Attacks on Recommender Systems
Opublikowany: 5.11.2025 -
Music Playlist Recommendations
Opublikowany: 29.10.2025 -
Bypassing the Popularity Bias
Opublikowany: 15.10.2025 -
Sustainable Recommender Systems for Tourism
Opublikowany: 9.10.2025 -
Interpretable Real Estate Recommendations
Opublikowany: 22.09.2025 -
Why Am I Seeing This?
Opublikowany: 8.09.2025 -
Eco-aware GNN Recommenders
Opublikowany: 30.08.2025 -
Networks and Recommender Systems
Opublikowany: 17.08.2025 -
Network of Past Guests Collaborations
Opublikowany: 21.07.2025 -
The Network Diversion Problem
Opublikowany: 6.07.2025 -
Complex Dynamic in Networks
Opublikowany: 28.06.2025 -
Github Network Analysis
Opublikowany: 22.06.2025 -
Networks and Complexity
Opublikowany: 14.06.2025 -
Graphs for Causal AI
Opublikowany: 24.05.2025 -
Power Networks
Opublikowany: 16.05.2025 -
Unveiling Graph Datasets
Opublikowany: 8.05.2025
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.
