Data Skeptic
A podcast by Kyle Polich

Categories:
565 Episodes
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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 -
Blind Spots in Reinforcement Learning
Published: 6/29/2018 -
Defending Against Adversarial Attacks
Published: 6/22/2018 -
Transfer Learning
Published: 6/15/2018 -
Medical Imaging Training Techniques
Published: 6/8/2018 -
Kalman Filters
Published: 6/1/2018 -
AI in Industry
Published: 5/25/2018 -
AI in Games
Published: 5/18/2018 -
Game Theory
Published: 5/11/2018 -
The Experimental Design of Paranormal Claims
Published: 5/4/2018 -
Winograd Schema Challenge
Published: 4/27/2018 -
The Imitation Game
Published: 4/20/2018 -
Eugene Goostman
Published: 4/13/2018 -
The Theory of Formal Languages
Published: 4/6/2018 -
The Loebner Prize
Published: 3/30/2018 -
Chatbots
Published: 3/23/2018
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.