emilyriederer.bsky.social
Here for data, data science, analytics engineering, rstats, books
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Thanks for sharing! So glad you saw the update too because it’s amazing how much changed since the original 😅
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I don’t think the vision is fully realized so this is just “in theory”, but I suppose the number of people on different social sites vastly outpaces the number with their own homepage. Plus ideally linktree would provide a standardized structure for the network data to make automation easier?
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I don’t really use it but I think In theory it should be a stable landing page for “you” even as different platforms come and go? So, if everyone had one when we were leaving Twitter, it might have made it easier to reconnect on Mastodon or Bluesky. Another form of “own your network”
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Well it only seems courteous to give them more time if it’s a staycation and you’re not sending them on a proper trip!
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What, you think it’s fun being transposed, inverted, and decomposed? Have you ever thought about this from the matrices perspectives?
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I would adore the syllabus / reading list for this
@deborahb.bsky.social Poison Squad (FDA)
Rob Bilott’s Exposure (microplastics and EPA)
Dan Bout’s Democracy’s Data (Census)
Plastic Capitalism, Democracy Declined (CFPB)
are some recent reads that would make my list. Other recs?
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These are brilliant! Love how you juxtaposed the plot of the true effect
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One of the dirty tricks arithmetic ever played
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👀👀👀
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Also me realizing I just made an "yes but what about the cost of healthcare" joke to a Canadian 😳
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Adult money for training? Or adult money for PT and an MRI when you find out the limits of said slightly older body? Speaking from experience as someone who considered themselves a decent runner until 4 months ago..
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Interesting! I'm usually exceptionally open to things being user error on my part, but it's hard to imagine what I'm doing wrong.. unlucky perhaps!
Let us know what you end up picking! I need another myself, actually, and after one rough go have been a bit hesitant
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Yeah I’m willing to bet there are fields where LA is important but going deep might not be number one priority for an undergrad, but it seems like a lot of problems could perhaps be solved branding such classes at like Matrix Arithmetic or something more distinct
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This is so true! I ended up taking Linear Algebra twice (credits wouldn't transfer) and at first I was bummed I had to; once I got into it, it was delightful and delightfully different seeing it from another lens (first was comp, second was more theory)
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Ah, now that makes sense. So, like, if you take all of machine learning, boil away the hype, you're approximately left with that book?
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Dying to know what the really big one at the bottom is
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I had no idea this was a major concern until I had this exact issue with a Western Digital drive. I never precisely determined root cause but wouldn’t recommend based on n of 1
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I never said I felt confident! Echo the sentiment, but appreciate the folks under incredible pressure right now who are still holding the many systems we invisibly benefit from each day together 💙
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Went to school miles from the SAS HQ with inevitable results
Thought I absolutely hated statistical computing and only wanted to be a theory person until I found R
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Yes! The more actual context you can “program against” the better! Huge fan of not having to remember anything
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To summarize (I do tend to ramble), I like to break down properties of my data into tiers described by keywords and do like
{tier 1}_{tier 2}_{etc}
I’m somewhat agnostic to the ordering of those, but post has some examples how it makes things like autocomplete or bulk aggregation easy
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Dataset column names or script names?
My hills I’ll die on: www.emilyriederer.com/post/column-...