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Pro tip: if you want a claim to sound better than it is simply replace the word “evidence” with “proof”, e.g., this one incident is proof that my view of the world is correct.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
robertjneal proslijedio/la je Tweet
We're hiring a Sr. Data Scientist who specializes in experimentation and causal inference for the Experimentation Data Science team at Twitter. If you're interested, or know of someone would be, please check out the link or shoot me a DM to learn more.https://careers.twitter.com/en/work-for-twitter/202002/senior-data-scientist-experimentation-and-causal-inference.html …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
robertjneal proslijedio/la je Tweet
I'm hiring engineers for our Product Insights and Experimentation (PIE
) team! We own and evolve Twitter's consumer product experimentation and metrics platform, helping our engineers confidently ship new features and products. Join the flock!https://careers.twitter.com/en/work-for-twitter/202001/staff-software-engineer-data-platform-product-insights-and0.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
robertjneal proslijedio/la je Tweet
What I say: Statistics is important for data science What they hear: You need to understand esoteric theorems about convergence in probability What I mean: You need to understand why p values are not measures of feature importance
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(c) with credence (near) 1, that the mean is either in the 95% CI or not and if I sample the same population infinite times and repeat the procedure, 95% of the time it will be within the 95% CIs
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(b) with credence .95, that the mean is between 1 and 2
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(a) with credence (near) 1, that the mean is between 1 and 2 and that my beliefs will cohere with the truth 95% of the time (I think Joyce has this view)
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Suppose for some sample I compute a mean of 1.5 with a 95% confidence interval from 1 to 2. What should I believe about the mean? Here are a couple of candidates, though I'm open to others:
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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robertjneal proslijedio/la je Tweet
My career so far:
I want to use advanced methods to answer questions I'm interested in
I want to use "simple" methods to answer questions others are interested in
I want to help other people correctly use simple methods...
I just want people to enter their data correctlyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Selfie with the one and only
#JIRAJoe#OneTeam
@jordanyoungsfpic.twitter.com/6ovm7ShPS9
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Can’t wait to get back to SF to get one of these!https://twitter.com/SFist/status/1217604543892066304 …
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Packing is really just optimizing for bringing the fewest pairs of shoes.
#oneteam
problemsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
robertjneal proslijedio/la je Tweet
If 1024 fair coins are each tossed 10 times, chances are good (> 63%) that at least one will come up heads 10 times in a row; and that coin will be proud to explain how its skill, faith, guts & determination made its achievement possible, and how that combo can work for you too.
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robertjneal proslijedio/la je Tweet
<Obligatory new year recruiting pitch> I'm hiring a research scientist for my team at Lyft. We work at the intersection of causal inference and machine learning, developing tools for optimal decision making. Looking for folks with strong stats and causal inference backgrounds
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Another frequent problem at SFO is a 4 min arrival time from the sfo cell phone lot that stays at 4 min for 10 min. I’m starting to think taxis are more convenient from SFO.
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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