Kay Brodersen

Data Scientist at Google

[SpaceX @SpaceX]

Falcon Heavy side cores have landed at SpaceX’s Landing Zones 1 and 2.

[Kay Brodersen @KayBrodersen]

@AJFinnBooks More than well deserved -- huge congratulations Dan!

[Kay Brodersen @KayBrodersen]

Congratulations to the #DeepMind team! AlphaGo Zero: Learning from scratch https://t.co/VByIPjucw9

[Chris Mathys, friend of clarity about scarcity @chmathys]

HGF Toolbox version 5.0 released. Many models added. Demo now a Matlab Live Script. Plus: residual diagnostics! https://t.co/uZzd3AN4xY

[Kay Brodersen @KayBrodersen]

Congrats @bigdata @pacoid and the team for putting together an incredible #StrataData in London this week!

[Kay Brodersen @KayBrodersen]

Great talk by @thweise of @TheASF on stream processing using #ApacheApex at #BDS16

[Kay Brodersen @KayBrodersen]

@neilcharles_uk Hi Neil, my colleague Alain Hauser is already looking into it.

[Kay Brodersen @KayBrodersen]

I'll be giving a hands-on tutorial on #CausalImpact at UCL on 24th October. #rstats https://t.co/68pYFEeiPi https://t.co/2skZB9jY6n

[Kay Brodersen @KayBrodersen]

Working with propensity scores? A new perspective by Ivan Diaz and Joseph Kelly on Unofficial Google Data Science https://t.co/ekUu23wp9D

[Chris Chapman @cnchapman]

Latest (unofficial) Google data science blog. Excellent discussion of casual modeling options @KayBrodersen https://t.co/HniPZwgPz2

[Kay Brodersen @KayBrodersen]

How Google is going machine learning first -- a real must read: https://t.co/mdnTAZeygY

[Kay Brodersen @KayBrodersen]

Google Zurich is hiring for a new Machine Learning group: Announcing Google Research, Europe https://t.co/JWokDm640u via @googleresearch

[Kay Brodersen @KayBrodersen]

Great #R post by Kim Larsen at #StitchFix: "Making #CausalImpact Analysis Easy" https://t.co/CLVGaObg1D

[Kay Brodersen @KayBrodersen]

Interested in data science at Google? Join the Zurich team as an intern! https://t.co/Sc7Xob662b

[Kay Brodersen @KayBrodersen]

Excellent post by @kevin_ushey on "what, underneath the covers, an R function really is" https://t.co/m9oHvmTjDk #rstats

[Kay Brodersen @KayBrodersen]

Check out this one weird trick to create an infinite source of clickbait journalism. (Spoiler: powered by RNNs.)
http://t.co/7do9lVjgU8

[Kay Brodersen @KayBrodersen]

The reusable holdout: Preserving validity in adaptive data analysis. http://t.co/LJpIiaeAbl via @googleresearch

[Kay Brodersen @KayBrodersen]

Published: The math behind Google's #CausalImpact #Rstats package http://t.co/rAWYfpiqmW

[Kay Brodersen @KayBrodersen]

@HoloMarkeD @sandramcamacho Hi Mark, this looks great. Keep in mind, though, that your inferences may be very inaccurate without covariates.

[Kay Brodersen @KayBrodersen]

@Google is looking for PhD students in #statistics for internships in Zurich, London, Paris. https://t.co/z3UaQse9YT