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data-science-conference-bingo's Introduction

Inspired by John Foreman. Pull requests accepted.

Data Science Conference Bingo (2020 Edition)

B I N G O
JUPYTER IN PROD DEEP LEARNING ARTIFICIAL INTELLIGENCE RECURRENT NEURAL NETWORK ETHICS
ENTERPRISE BOOTCAMP LAMBDA SCHOOL DASK THE NEW OIL
SCIKIT-LEARN THE CLOUD MNIST REINFORCEMENT LEARNING
KUBERNETES ANDREJ KARPATHY BLACK BOX ALGO GDPR PYTHON 3
COGNITIVE GPU PYTORCH MACHINE LEARNING ENGINEER DIFFERENTIAL PRIVACY

Data Science Conference Bingo (2017 Edition)

B I N G O
JUPYTER DEEP LEARNING ARTIFICIAL INTELLIGENCE RECURRENT NEURAL NETWORK ETHICS
ENTERPRISE BOOTCAMP DATA SCIENCE INSTITUTE SPARK SEXY
SCIKIT-LEARN BIG DATA FISHER'S IRIS DATA REINFORCEMENT LEARNING
DOCKER ANDREW NG SOCIAL GOOD KERAS PYTHON
COGNITIVE GPU CHATBOT MACHINE LEARNING ENGINEER TENSORFLOW

Data Science Conference Bingo (2013 Edition)

B I N G O
ENSEMBLE METHODS PANDAS 100x FASTER THAN HIVE "END OF THEORY" REFERENCE OUT-OF-CORE
HASHING TRICK CURSE OF DIMENSIONALITY FISHER'S IRIS DATA R SEXY
CLOUDERA BIG DATA NoSQL MAP-REDUCE WORDCOUNT
RECOMMENDER HADLEY WICKHAM D3.js GGPLOT PYTHON
NAIVE BAYES INTERNET OF THINGS IO-BOUND KERNEL TRICK ARTISANAL DATA

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