Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
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[MINI] Single Source of Truth
Published: 11/9/2018 -
Detecting Fast Radio Bursts with Deep Learning
Published: 11/2/2018 -
Being Bayesian
Published: 10/26/2018 -
Modeling Fake News
Published: 10/19/2018 -
The Louvain Method for Community Detection
Published: 10/12/2018 -
Cultural Cognition of Scientific Consensus
Published: 10/5/2018 -
False Discovery Rates
Published: 9/28/2018 -
Deep Fakes
Published: 9/21/2018 -
Fake News Midterm
Published: 9/14/2018 -
Quality Score
Published: 9/7/2018 -
The Knowledge Illusion
Published: 8/31/2018 -
Click Through Rates
Published: 8/24/2018 -
Algorithmic Detection of Fake News
Published: 8/17/2018 -
Ant Intelligence
Published: 8/10/2018 -
Human Detection of Fake News
Published: 8/3/2018 -
Spam Filtering with Naive Bayes
Published: 7/27/2018 -
The Spread of Fake News
Published: 7/20/2018 -
Fake News
Published: 7/13/2018 -
Dev Ops for Data Science
Published: 7/11/2018 -
First Order Logic
Published: 7/6/2018
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.