Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
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BLEU
Published: 3/23/2019 -
Simultaneous Translation at Baidu
Published: 3/15/2019 -
Human vs Machine Transcription
Published: 3/8/2019 -
seq2seq
Published: 3/1/2019 -
Text Mining in R
Published: 2/22/2019 -
Recurrent Relational Networks
Published: 2/15/2019 -
Text World and Word Embedding Lower Bounds
Published: 2/8/2019 -
word2vec
Published: 2/1/2019 -
Authorship Attribution
Published: 1/25/2019 -
Very Large Corpora and Zipf's Law
Published: 1/18/2019 -
Semantic search at Github
Published: 1/11/2019 -
Let's Talk About Natural Language Processing
Published: 1/4/2019 -
Data Science Hiring Processes
Published: 12/28/2018 -
Holiday Reading - Epicac
Published: 12/25/2018 -
Drug Discovery with Machine Learning
Published: 12/21/2018 -
Sign Language Recognition
Published: 12/14/2018 -
Data Ethics
Published: 12/7/2018 -
Escaping the Rabbit Hole
Published: 11/30/2018 -
[MINI] Theorem Provers
Published: 11/23/2018 -
Automated Fact Checking
Published: 11/16/2018
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.