Data Skeptic
Un pódcast de Kyle Polich - Lunes
Categorías:
555 Episodo
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Recurrent Relational Networks
Publicado: 15/2/2019 -
Text World and Word Embedding Lower Bounds
Publicado: 8/2/2019 -
word2vec
Publicado: 1/2/2019 -
Authorship Attribution
Publicado: 25/1/2019 -
Very Large Corpora and Zipf's Law
Publicado: 18/1/2019 -
Semantic search at Github
Publicado: 11/1/2019 -
Let's Talk About Natural Language Processing
Publicado: 4/1/2019 -
Data Science Hiring Processes
Publicado: 28/12/2018 -
Holiday Reading - Epicac
Publicado: 25/12/2018 -
Drug Discovery with Machine Learning
Publicado: 21/12/2018 -
Sign Language Recognition
Publicado: 14/12/2018 -
Data Ethics
Publicado: 7/12/2018 -
Escaping the Rabbit Hole
Publicado: 30/11/2018 -
[MINI] Theorem Provers
Publicado: 23/11/2018 -
Automated Fact Checking
Publicado: 16/11/2018 -
[MINI] Single Source of Truth
Publicado: 9/11/2018 -
Detecting Fast Radio Bursts with Deep Learning
Publicado: 2/11/2018 -
Being Bayesian
Publicado: 26/10/2018 -
Modeling Fake News
Publicado: 19/10/2018 -
The Louvain Method for Community Detection
Publicado: 12/10/2018
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.