Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
-
Neural Turing Machines
Publié: 25/05/2019 -
Data Infrastructure in the Cloud
Publié: 18/05/2019 -
NCAA Predictions on Spark
Publié: 11/05/2019 -
The Transformer
Publié: 03/05/2019 -
Mapping Dialects with Twitter Data
Publié: 26/04/2019 -
Sentiment Analysis
Publié: 20/04/2019 -
Attention Primer
Publié: 13/04/2019 -
Cross-lingual Short-text Matching
Publié: 05/04/2019 -
ELMo
Publié: 29/03/2019 -
BLEU
Publié: 23/03/2019 -
Simultaneous Translation at Baidu
Publié: 15/03/2019 -
Human vs Machine Transcription
Publié: 08/03/2019 -
seq2seq
Publié: 01/03/2019 -
Text Mining in R
Publié: 22/02/2019 -
Recurrent Relational Networks
Publié: 15/02/2019 -
Text World and Word Embedding Lower Bounds
Publié: 08/02/2019 -
word2vec
Publié: 01/02/2019 -
Authorship Attribution
Publié: 25/01/2019 -
Very Large Corpora and Zipf's Law
Publié: 18/01/2019 -
Semantic search at Github
Publié: 11/01/2019
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.