Data Skeptic
A podcast by Kyle Polich
571 Episoade
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[MINI] The Bonferroni Correction
Publicat: 22.01.2016 -
Detecting Pseudo-profound BS
Publicat: 15.01.2016 -
[MINI] Gradient Descent
Publicat: 08.01.2016 -
Let's Kill the Word Cloud
Publicat: 01.01.2016 -
2015 Holiday Special
Publicat: 25.12.2015 -
Wikipedia Revision Scoring as a Service
Publicat: 18.12.2015 -
[MINI] Term Frequency - Inverse Document Frequency
Publicat: 11.12.2015 -
The Hunt for Vulcan
Publicat: 04.12.2015 -
[MINI] The Accuracy Paradox
Publicat: 27.11.2015 -
Neuroscience from a Data Scientist's Perspective
Publicat: 20.11.2015 -
[MINI] Bias Variance Tradeoff
Publicat: 13.11.2015 -
Big Data Doesn't Exist
Publicat: 06.11.2015 -
[MINI] Covariance and Correlation
Publicat: 30.10.2015 -
Bayesian A/B Testing
Publicat: 23.10.2015 -
[MINI] The Central Limit Theorem
Publicat: 16.10.2015 -
Accessible Technology
Publicat: 09.10.2015 -
[MINI] Multi-armed Bandit Problems
Publicat: 02.10.2015 -
Shakespeare, Abiogenesis, and Exoplanets
Publicat: 25.09.2015 -
[MINI] Sample Sizes
Publicat: 18.09.2015 -
The Model Complexity Myth
Publicat: 11.09.2015
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.