Data Skeptic
En podcast av Kyle Polich
592 Avsnitt
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Authorship Attribution
Publicerades: 2019-01-25 -
Very Large Corpora and Zipf's Law
Publicerades: 2019-01-18 -
Semantic search at Github
Publicerades: 2019-01-11 -
Let's Talk About Natural Language Processing
Publicerades: 2019-01-04 -
Data Science Hiring Processes
Publicerades: 2018-12-28 -
Holiday Reading - Epicac
Publicerades: 2018-12-25 -
Drug Discovery with Machine Learning
Publicerades: 2018-12-21 -
Sign Language Recognition
Publicerades: 2018-12-14 -
Data Ethics
Publicerades: 2018-12-07 -
Escaping the Rabbit Hole
Publicerades: 2018-11-30 -
[MINI] Theorem Provers
Publicerades: 2018-11-23 -
Automated Fact Checking
Publicerades: 2018-11-16 -
[MINI] Single Source of Truth
Publicerades: 2018-11-09 -
Detecting Fast Radio Bursts with Deep Learning
Publicerades: 2018-11-02 -
Being Bayesian
Publicerades: 2018-10-26 -
Modeling Fake News
Publicerades: 2018-10-19 -
The Louvain Method for Community Detection
Publicerades: 2018-10-12 -
Cultural Cognition of Scientific Consensus
Publicerades: 2018-10-05 -
False Discovery Rates
Publicerades: 2018-09-28 -
Deep Fakes
Publicerades: 2018-09-21
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.
