Data Skeptic
A podcast by Kyle Polich
591 Episoade
-
Cracking the Cold Start Problem
Publicat: 08.12.2025 -
Designing Recommender Systems for Digital Humanities
Publicat: 23.11.2025 -
DataRec Library for Reproducible in Recommend Systems
Publicat: 13.11.2025 -
Shilling Attacks on Recommender Systems
Publicat: 05.11.2025 -
Music Playlist Recommendations
Publicat: 29.10.2025 -
Bypassing the Popularity Bias
Publicat: 15.10.2025 -
Sustainable Recommender Systems for Tourism
Publicat: 09.10.2025 -
Interpretable Real Estate Recommendations
Publicat: 22.09.2025 -
Why Am I Seeing This?
Publicat: 08.09.2025 -
Eco-aware GNN Recommenders
Publicat: 30.08.2025 -
Networks and Recommender Systems
Publicat: 17.08.2025 -
Network of Past Guests Collaborations
Publicat: 21.07.2025 -
The Network Diversion Problem
Publicat: 06.07.2025 -
Complex Dynamic in Networks
Publicat: 28.06.2025 -
Github Network Analysis
Publicat: 22.06.2025 -
Networks and Complexity
Publicat: 14.06.2025 -
Graphs for Causal AI
Publicat: 24.05.2025 -
Power Networks
Publicat: 16.05.2025 -
Unveiling Graph Datasets
Publicat: 08.05.2025 -
Network Manipulation
Publicat: 30.04.2025
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.
