Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
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Neural Turing Machines
Publisert: 25.5.2019 -
Data Infrastructure in the Cloud
Publisert: 18.5.2019 -
NCAA Predictions on Spark
Publisert: 11.5.2019 -
The Transformer
Publisert: 3.5.2019 -
Mapping Dialects with Twitter Data
Publisert: 26.4.2019 -
Sentiment Analysis
Publisert: 20.4.2019 -
Attention Primer
Publisert: 13.4.2019 -
Cross-lingual Short-text Matching
Publisert: 5.4.2019 -
ELMo
Publisert: 29.3.2019 -
BLEU
Publisert: 23.3.2019 -
Simultaneous Translation at Baidu
Publisert: 15.3.2019 -
Human vs Machine Transcription
Publisert: 8.3.2019 -
seq2seq
Publisert: 1.3.2019 -
Text Mining in R
Publisert: 22.2.2019 -
Recurrent Relational Networks
Publisert: 15.2.2019 -
Text World and Word Embedding Lower Bounds
Publisert: 8.2.2019 -
word2vec
Publisert: 1.2.2019 -
Authorship Attribution
Publisert: 25.1.2019 -
Very Large Corpora and Zipf's Law
Publisert: 18.1.2019 -
Semantic search at Github
Publisert: 11.1.2019
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.