Data Skeptic
A podcast by Kyle Polich
Categories:
549 Episodes
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[MINI] Gradient Descent
Published: 8/01/2016 -
Let's Kill the Word Cloud
Published: 1/01/2016 -
2015 Holiday Special
Published: 25/12/2015 -
Wikipedia Revision Scoring as a Service
Published: 18/12/2015 -
[MINI] Term Frequency - Inverse Document Frequency
Published: 11/12/2015 -
The Hunt for Vulcan
Published: 4/12/2015 -
[MINI] The Accuracy Paradox
Published: 27/11/2015 -
Neuroscience from a Data Scientist's Perspective
Published: 20/11/2015 -
[MINI] Bias Variance Tradeoff
Published: 13/11/2015 -
Big Data Doesn't Exist
Published: 6/11/2015 -
[MINI] Covariance and Correlation
Published: 30/10/2015 -
Bayesian A/B Testing
Published: 23/10/2015 -
[MINI] The Central Limit Theorem
Published: 16/10/2015 -
Accessible Technology
Published: 9/10/2015 -
[MINI] Multi-armed Bandit Problems
Published: 2/10/2015 -
Shakespeare, Abiogenesis, and Exoplanets
Published: 25/09/2015 -
[MINI] Sample Sizes
Published: 18/09/2015 -
The Model Complexity Myth
Published: 11/09/2015 -
[MINI] Distance Measures
Published: 4/09/2015 -
ContentMine
Published: 28/08/2015
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.