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Data Skeptic

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

info_outline Recurrent Relational Networks 02/15/2019
info_outline Text World and Word Embedding Lower Bounds 02/08/2019
info_outline word2vec 02/01/2019
info_outline Authorship Attribution 01/25/2019
info_outline Very Large Corpora and Zipf's Law 01/18/2019
info_outline Semantic search at Github 01/11/2019
info_outline Let's Talk About Natural Language Processing 01/04/2019
info_outline Data Science Hiring Processes 12/28/2018
info_outline Holiday Reading - Epicac 12/25/2018
info_outline Drug Discovery with Machine Learning 12/21/2018
info_outline Sign Language Recognition 12/14/2018
info_outline Data Ethics 12/07/2018
info_outline Escaping the Rabbit Hole 11/30/2018
info_outline Theorem Provers 11/23/2018
info_outline Automated Fact Checking 11/16/2018
info_outline Single Source of Truth 11/09/2018
info_outline Detecting Fast Radio Bursts with Deep Learning 11/02/2018
info_outline Being Bayesian 10/26/2018
info_outline Modeling Fake News 10/19/2018
info_outline The Louvain Method for Community Detection 10/12/2018
info_outline Cultural Cognition of Scientific Consensus 10/05/2018
info_outline False Discovery Rates 09/28/2018
info_outline Deep Fakes 09/21/2018
info_outline Fake News Midterm 09/14/2018
info_outline Quality Score 09/07/2018
info_outline The Knowledge Illusion 08/31/2018
info_outline Click Through Rates 08/24/2018
info_outline Algorithmic Detection of Fake News 08/17/2018
info_outline Ant Intelligence 08/10/2018
info_outline Human Detection of Fake News 08/03/2018