└── README.md /README.md: -------------------------------------------------------------------------------- 1 | Inspired by [John Foreman](https://twitter.com/John4man). Pull requests accepted. 2 | 3 | ## Data Science Conference Bingo (2020 Edition) 4 | 5 | 6 | | B | I | N | G | O | 7 | | :-----------: | :-------------: | :-------------: | :-------------: | :-------------: | 8 | | JUPYTER IN PROD | DEEP LEARNING | ARTIFICIAL INTELLIGENCE | RECURRENT NEURAL NETWORK | ETHICS | 9 | | ENTERPRISE | BOOTCAMP | LAMBDA SCHOOL | DASK | THE NEW OIL | 10 | | SCIKIT-LEARN | THE CLOUD | | MNIST | REINFORCEMENT LEARNING | 11 | | KUBERNETES | ANDREJ KARPATHY | BLACK BOX ALGO | GDPR | PYTHON 3 | 12 | | COGNITIVE | GPU | PYTORCH | MACHINE LEARNING ENGINEER | DIFFERENTIAL PRIVACY 13 | 14 | 15 | ## Data Science Conference Bingo (2017 Edition) 16 | 17 | 18 | | B | I | N | G | O | 19 | | :-----------: | :-------------: | :-------------: | :-------------: | :-------------: | 20 | | JUPYTER | DEEP LEARNING | ARTIFICIAL INTELLIGENCE | RECURRENT NEURAL NETWORK | ETHICS | 21 | | ENTERPRISE | BOOTCAMP | DATA SCIENCE INSTITUTE | SPARK | SEXY | 22 | | SCIKIT-LEARN | BIG DATA | | FISHER'S IRIS DATA | REINFORCEMENT LEARNING | 23 | | DOCKER | ANDREW NG | SOCIAL GOOD | KERAS | PYTHON | 24 | | COGNITIVE | GPU | CHATBOT | MACHINE LEARNING ENGINEER | TENSORFLOW | 25 | 26 | 27 | ## Data Science Conference Bingo (2013 Edition) 28 | 29 | | B | I | N | G | O | 30 | | :-----------: | :-------------: | :-------------: | :-------------: | :-------------: | 31 | | [ENSEMBLE METHODS](http://en.wikipedia.org/wiki/Ensemble_learning) | [PANDAS](http://pandas.pydata.org/) | [100x FASTER THAN HIVE](http://hortonworks.com/blog/100x-faster-hive/) | "[END OF THEORY](http://www.wired.com/science/discoveries/magazine/16-07/pb_theory)" REFERENCE | [OUT-OF-CORE](http://en.wikipedia.org/wiki/Out-of-core_algorithm) | 32 | | [HASHING TRICK](http://en.wikipedia.org/wiki/Feature_hashing "None") | [CURSE OF DIMENSIONALITY](http://en.wikipedia.org/wiki/Curse_of_dimensionality "None") | [FISHER'S IRIS DATA](http://en.wikipedia.org/wiki/Iris_flower_data_set) | [R](http://www.r-project.org/) | [SEXY](http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/) | 33 | | [CLOUDERA](http://www.cloudera.com/content/cloudera/en/home.html "None") | [BIG DATA](http://en.wikipedia.org/wiki/Big_data) | | [NoSQL](http://en.wikipedia.org/wiki/NoSQL) | [MAP-REDUCE WORDCOUNT](http://wiki.apache.org/hadoop/WordCount) | 34 | | [RECOMMENDER](http://en.wikipedia.org/wiki/Recommender_system) | [HADLEY WICKHAM](http://had.co.nz/) | [D3.js](http://d3js.org/) | [GGPLOT](http://ggplot2.org/) | [PYTHON](http://www.python.org/) | 35 | | [NAIVE BAYES](http://en.wikipedia.org/wiki/Naive_Bayes_classifier) | [INTERNET OF THINGS](http://en.wikipedia.org/wiki/Internet_of_Things) | [IO-BOUND](http://en.wikipedia.org/wiki/I/O_bound) | [KERNEL TRICK](http://en.wikipedia.org/wiki/Kernel_trick) | [ARTISANAL DATA](http://www.fastcompany.com/3020211/dialed/why-data-artisans-are-the-new-data-scientists) | 36 | 37 | --------------------------------------------------------------------------------