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Video
Fairness and Data Science: Failures, Factors, and Futures
In recent years, numerous highly publicized failures in data science have made evident that biases or issues of fairness in training data can sneak into, and be magnified by, our models, leading to harmful, incorrect predictions being made once the models are deployed into the real world.
Data science hangout
Featuring all of us
Join us for a special Data Science Hangout this week where we’re all the...
Video
Feedback at scale
As enrollments in statistics and data science courses grow and as these courses become more computational, educators are faced with an interesting challenge -- providing timely and meaningful feedback, particularly with online delivery of courses.
Video
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse to enable fast, reproducible, elegant analyses of electronic health records.
Video
Flipbooks
Good examples facilitate accomplishing new or unpracticed tasks in a programmatic workflow. Tools for communicating examples have improved in recent years.