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Kay Brodersen
@KayBrodersen
Data Scientist at Google
Joined January 2013
85
Following
303
Followers
36
Posts
KayBrodersen
retweeted
SpaceX
@SpaceX
over 8 years ago
Falcon Heavy side cores have landed at SpaceX’s Landing Zones 1 and 2.
Kay Brodersen
@KayBrodersen
over 8 years ago
@AJFinnBooks More than well deserved -- huge congratulations Dan!
Kay Brodersen
@KayBrodersen
over 8 years ago
Congratulations to the
#DeepMind
team! AlphaGo Zero: Learning from scratch https://t.co/VByIPjucw9
KayBrodersen
retweeted
Chris Mathys, friend of clarity about scarcity
@chmathys
about 9 years ago
HGF Toolbox version 5.0 released. Many models added. Demo now a Matlab Live Script. Plus: residual diagnostics! https://t.co/uZzd3AN4xY
Who to follow
OHBM
@OHBM
Our purpose is to advance the understanding of the anatomical and functional organization of the human brain, and promote its medical and societal applications.
Rick Adams 🇺🇦@drrickadams.bsky.social
@dr_rick_adams
Psychiatrist & Future Leaders Fellow at UCL, working on psychosis, brain imaging, computational models of the brain. Co-Ed-in-Chief of @CPSYJournal
Guillaume Dumas
@introspection
🤖🔁🧠 Minds in Interaction across Scales, Disciplines & Theories #SocialNeuroAI Dad · Husband · Prof @UMontreal · PI @PPSP_Team (@ChuSteJustine/@Mila_Quebec)
Kay Brodersen
@KayBrodersen
about 9 years ago
Congrats
@bigdata
@pacoid
and the team for putting together an incredible
#StrataData
in London this week!
Kay Brodersen
@KayBrodersen
over 9 years ago
Great talk by
@thweise
of
@TheASF
on stream processing using
#ApacheApex
at
#BDS16
Kay Brodersen
@KayBrodersen
over 9 years ago
@neilcharles_uk Hi Neil, my colleague Alain Hauser is already looking into it.
Kay Brodersen
@KayBrodersen
over 9 years ago
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
almost 10 years ago
Working with propensity scores? A new perspective by Ivan Diaz and Joseph Kelly on Unofficial Google Data Science https://t.co/ekUu23wp9D
KayBrodersen
retweeted
Chris Chapman
@cnchapman
almost 10 years ago
Latest (unofficial) Google data science blog. Excellent discussion of casual modeling options
@KayBrodersen
https://t.co/HniPZwgPz2
Kay Brodersen
@KayBrodersen
almost 10 years ago
How Google is going machine learning first -- a real must read: https://t.co/mdnTAZeygY
Kay Brodersen
@KayBrodersen
almost 10 years ago
Google Zurich is hiring for a new Machine Learning group: Announcing Google Research, Europe https://t.co/JWokDm640u via
@googleresearch
Kay Brodersen
@KayBrodersen
over 10 years ago
Great
#R
post by Kim Larsen at
#StitchFix
: "Making
#CausalImpact
Analysis Easy" https://t.co/CLVGaObg1D
Kay Brodersen
@KayBrodersen
over 10 years ago
Interested in data science at Google? Join the Zurich team as an intern! https://t.co/Sc7Xob662b
Kay Brodersen
@KayBrodersen
over 10 years ago
Excellent post by
@kevin_ushey
on "what, underneath the covers, an R function really is" https://t.co/m9oHvmTjDk
#rstats
Kay Brodersen
@KayBrodersen
over 10 years ago
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
almost 11 years ago
The reusable holdout: Preserving validity in adaptive data analysis. http://t.co/LJpIiaeAbl via
@googleresearch
Kay Brodersen
@KayBrodersen
about 11 years ago
Published: The math behind Google's
#CausalImpact
#Rstats
package http://t.co/rAWYfpiqmW
Kay Brodersen
@KayBrodersen
over 11 years ago
@HoloMarkeD
@sandramcamacho Hi Mark, this looks great. Keep in mind, though, that your inferences may be very inaccurate without covariates.
Kay Brodersen
@KayBrodersen
over 11 years ago
@Google
is looking for PhD students in
#statistics
for internships in Zurich, London, Paris. https://t.co/z3UaQse9YT
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