Galina E
31 posts
Galina E
@gendcode
Data scientist and bookworm on the lookout for next travel destination
Bulgaria Katılım Ocak 2016
87 Takip Edilen8 Takipçiler
#stats in real life
Andrew Therriault@therriaultphd
Holy crap. They're not accounting for weekend periodicity and therefore are overfitting the drop in reporting from last weekend and predicting as if that's going to continue. This is "worst student in freshman stats"-level malpractice, and people are going to die from it. Unreal.
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@GarciaGzlez hive.co.uk is a good one. There was a thread a while back with independent shops selling online during COVID times - will keep you posted if I find it?
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It's often hard to the find the right compromise between the engineering maxim of "do the simplest thing that could possibly work" and the researcher impulse to "use the most advanced methodology I have recently heard about."
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Fantastic talk on how to get women involved in coding for the first time!
Gen Ashley 🙏🇺🇦@coderinheels
Talk done at #Big Data and #AI World this morning. Will now be preparing to moderate an afternoon panel discussion on "driving revenue whilst creating a positive social impact" #bdaiw #womenintech
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Did I tell yall I was hanging with @marktechson at a tech conference and an older guy assumed I was his tag-along wife? 🙃
Dont do this. Assume everyone at the tech event is actually, ya know, technical. You get paid to think logically. Do so.
Oakland, CA 🇺🇸 English
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“I'm saying we love Americans, but we hate your president” 😭
Are these the "terrorist" we are fighting in the middle east?
Does this man look or even sound a terrorist to you?
My heart breaks for my people.💔
"Are we human or not?"
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Fantastic talk by @quaesita at #ODSCEurope about all the different things that need to happen for data science to have a big impact on a business.
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Some advice on managing your online presence if you're applying for a job or scholarship, based on my experiences reviewing rstudio::conf scholarship applications (results out soon):
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@Brii_toe_knee Throw in the fact that people don't seem to realize what you like is very visible. Some of the content I didn't even know was available on LinkedIn.
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Some decisions belong with humans, who can at least work to check their own biases.
Dr Kareem Carr@kareem_carr
Suppose workers at company X strongly prefer to work with men. So, the algorithm learns men do well at company X, and women don’t. The algorithm will be predictive of performance, but not for the expected reasons. This is why naive algorithmic optimization is problematic.
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Something I wish I knew at start of my PhD: sitting destroys your body. Unless you're actively doing strength training and mobility exercises to combat this, you will suffer aches and pains due to shortened hip flexors, weak glutes and hamstrings which can lead to backpain, etc.
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