Data Skeptic
Ein Podcast von Kyle Polich
592 Folgen
-
Eye Tracking in Recommender Systems
Vom: 18.12.2025 -
Cracking the Cold Start Problem
Vom: 8.12.2025 -
Designing Recommender Systems for Digital Humanities
Vom: 23.11.2025 -
DataRec Library for Reproducible in Recommend Systems
Vom: 13.11.2025 -
Shilling Attacks on Recommender Systems
Vom: 5.11.2025 -
Music Playlist Recommendations
Vom: 29.10.2025 -
Bypassing the Popularity Bias
Vom: 15.10.2025 -
Sustainable Recommender Systems for Tourism
Vom: 9.10.2025 -
Interpretable Real Estate Recommendations
Vom: 22.9.2025 -
Why Am I Seeing This?
Vom: 8.9.2025 -
Eco-aware GNN Recommenders
Vom: 30.8.2025 -
Networks and Recommender Systems
Vom: 17.8.2025 -
Network of Past Guests Collaborations
Vom: 21.7.2025 -
The Network Diversion Problem
Vom: 6.7.2025 -
Complex Dynamic in Networks
Vom: 28.6.2025 -
Github Network Analysis
Vom: 22.6.2025 -
Networks and Complexity
Vom: 14.6.2025 -
Graphs for Causal AI
Vom: 24.5.2025 -
Power Networks
Vom: 16.5.2025 -
Unveiling Graph Datasets
Vom: 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.
