Data Skeptic
En podkast av Kyle Polich
591 Episoder
-
Cracking the Cold Start Problem
Publisert: 8.12.2025 -
Designing Recommender Systems for Digital Humanities
Publisert: 23.11.2025 -
DataRec Library for Reproducible in Recommend Systems
Publisert: 13.11.2025 -
Shilling Attacks on Recommender Systems
Publisert: 5.11.2025 -
Music Playlist Recommendations
Publisert: 29.10.2025 -
Bypassing the Popularity Bias
Publisert: 15.10.2025 -
Sustainable Recommender Systems for Tourism
Publisert: 9.10.2025 -
Interpretable Real Estate Recommendations
Publisert: 22.9.2025 -
Why Am I Seeing This?
Publisert: 8.9.2025 -
Eco-aware GNN Recommenders
Publisert: 30.8.2025 -
Networks and Recommender Systems
Publisert: 17.8.2025 -
Network of Past Guests Collaborations
Publisert: 21.7.2025 -
The Network Diversion Problem
Publisert: 6.7.2025 -
Complex Dynamic in Networks
Publisert: 28.6.2025 -
Github Network Analysis
Publisert: 22.6.2025 -
Networks and Complexity
Publisert: 14.6.2025 -
Graphs for Causal AI
Publisert: 24.5.2025 -
Power Networks
Publisert: 16.5.2025 -
Unveiling Graph Datasets
Publisert: 8.5.2025 -
Network Manipulation
Publisert: 30.4.2025
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.
