Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
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Click Through Rates
Publisert: 24.8.2018 -
Algorithmic Detection of Fake News
Publisert: 17.8.2018 -
Ant Intelligence
Publisert: 10.8.2018 -
Human Detection of Fake News
Publisert: 3.8.2018 -
Spam Filtering with Naive Bayes
Publisert: 27.7.2018 -
The Spread of Fake News
Publisert: 20.7.2018 -
Fake News
Publisert: 13.7.2018 -
Dev Ops for Data Science
Publisert: 11.7.2018 -
First Order Logic
Publisert: 6.7.2018 -
Blind Spots in Reinforcement Learning
Publisert: 29.6.2018 -
Defending Against Adversarial Attacks
Publisert: 22.6.2018 -
Transfer Learning
Publisert: 15.6.2018 -
Medical Imaging Training Techniques
Publisert: 8.6.2018 -
Kalman Filters
Publisert: 1.6.2018 -
AI in Industry
Publisert: 25.5.2018 -
AI in Games
Publisert: 18.5.2018 -
Game Theory
Publisert: 11.5.2018 -
The Experimental Design of Paranormal Claims
Publisert: 4.5.2018 -
Winograd Schema Challenge
Publisert: 27.4.2018 -
The Imitation Game
Publisert: 20.4.2018
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.
