Bootstrapping the Right Way • Yanir Seroussi • YOW! 2019

This presentation was recorded at YOW! 2019. #GOTOcon #YOW
yowcon.com
Yanir Seroussi - Distinguished Data Scientist at Automattic @yanir-seroussi
RESOURCES
/ yanirseroussi
github.com/yanirs
yanirseroussi.com
ABSTRACT
The main takeaways shared in the talk:
• Don’t compare single-sample confidence intervals by eye
• Use enough resamples (15K?)
• Use a solid bootstrapping package (e.g., Python ARCH)
• Use the right bootstrap for the job
• Consider going parametric Bayesian
• Test all the things [...]
RECOMMENDED BOOKS
Alex Castrounis • AI for People and Business • amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • amzn.to/3t1S1VZ
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • amzn.to/3JVngcx
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • amzn.to/2ZD7t0x
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#DataScience #AI #ML #Bootstrapping #ParametricBayesian #Parametric #Bayesian #SoftwareEngineering #Programming #SoftwareDevelopmentTutorial #ProgrammingTutorial #YanirSeroussi #YOWcon
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