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Data Skeptic

Data Skeptic

Kyle Polich

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.
603 - Disentanglement and Interpretability in Recommender Systems
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Episodios

603-

Disentanglement and Interpretability in Recommender Systems

mar., 10 mar. 2026
602-

Collective Altruism in Recommender Systems

vie., 27 feb. 2026
601-

Niche vs Mainstream

mié., 18 feb. 2026
600-

Healthy Friction in Job Recommender Systems

lun., 02 feb. 2026
599-

Fairness in PCA-Based Recommenders

lun., 26 ene. 2026