Data Skeptic

Science

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...

Episodes

Give Users the Wheel

AutoLike

Student Spotlight: Aaron Payne, Data Analyst

The Future is Agentic in Recommender Systems

Book Ratings and Recommendations

Disentanglement and Interpretability in Recommender Systems

Collective Altruism in Recommender Systems

Niche vs Mainstream

Healthy Friction in Job Recommender Systems

Fairness in PCA-Based Recommenders

Video Recommendations in Industry

Eye Tracking in Recommender Systems

Cracking the Cold Start Problem

Designing Recommender Systems for Digital Humanities

DataRec Library for Reproducible in Recommend Systems

Shilling Attacks on Recommender Systems

Music Playlist Recommendations

Bypassing the Popularity Bias

Sustainable Recommender Systems for Tourism

Interpretable Real Estate Recommendations