Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
-
NYC Bike Share Rebalancing
Publié: 14/10/2016 -
[MINI] Random Forest
Publié: 07/10/2016 -
Election Predictions
Publié: 30/09/2016 -
[MINI] F1 Score
Publié: 23/09/2016 -
Urban Congestion
Publié: 16/09/2016 -
[MINI] Heteroskedasticity
Publié: 09/09/2016 -
Music21
Publié: 02/09/2016 -
[MINI] Paxos
Publié: 26/08/2016 -
Trusting Machine Learning Models with LIME
Publié: 19/08/2016 -
[MINI] ANOVA
Publié: 12/08/2016 -
Machine Learning on Images with Noisy Human-centric Labels
Publié: 05/08/2016 -
[MINI] Survival Analysis
Publié: 29/07/2016 -
Predictive Models on Random Data
Publié: 22/07/2016 -
[MINI] Receiver Operating Characteristic (ROC) Curve
Publié: 15/07/2016 -
Multiple Comparisons and Conversion Optimization
Publié: 08/07/2016 -
[MINI] Leakage
Publié: 01/07/2016 -
Predictive Policing
Publié: 24/06/2016 -
[MINI] The CAP Theorem
Publié: 17/06/2016 -
Detecting Terrorists with Facial Recognition?
Publié: 10/06/2016 -
[MINI] Goodhart's Law
Publié: 03/06/2016
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.