Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
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[MINI] ANOVA
Published: 8/12/2016 -
Machine Learning on Images with Noisy Human-centric Labels
Published: 8/5/2016 -
[MINI] Survival Analysis
Published: 7/29/2016 -
Predictive Models on Random Data
Published: 7/22/2016 -
[MINI] Receiver Operating Characteristic (ROC) Curve
Published: 7/15/2016 -
Multiple Comparisons and Conversion Optimization
Published: 7/8/2016 -
[MINI] Leakage
Published: 7/1/2016 -
Predictive Policing
Published: 6/24/2016 -
[MINI] The CAP Theorem
Published: 6/17/2016 -
Detecting Terrorists with Facial Recognition?
Published: 6/10/2016 -
[MINI] Goodhart's Law
Published: 6/3/2016 -
Data Science at eHarmony
Published: 5/27/2016 -
[MINI] Stationarity and Differencing
Published: 5/20/2016 -
Feather
Published: 5/13/2016 -
[MINI] Bargaining
Published: 5/6/2016 -
deepjazz
Published: 4/29/2016 -
[MINI] Auto-correlative functions and correlograms
Published: 4/22/2016 -
Early Identification of Violent Criminal Gang Members
Published: 4/15/2016 -
[MINI] Fractional Factorial Design
Published: 4/8/2016 -
Machine Learning Done Wrong
Published: 4/1/2016
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.