Dylan Armbruster
@dylanarmbruste3
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Polymath Bachelors in Statistics Grad Student - Statistics
Joined January 2021
More people aught to formally learn some Philosophy of Science. Here's a reference I like.
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Yup. I work on surveys right now and its the majority of the job.
📉 10 verdades del análisis de datos que no salen en el temario:. 1️⃣ El 80% del trabajo es limpiar, ordenar y entender los datos. Sí, lo has leído mil veces. Pero hasta que no lo vives, no lo crees. 🧼 Si amas la estadística, aprende también a amar el preprocesado. #stats
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I think you could add a few other skills in there too in fact. I love Statistics and can't wait to graduate from my masters. Then, I can call myself a Statistician officially without feeling like a fraud.
Statisticians need to learn math, coding, verbal and written communication, critical thinking and have a good sense of data. Such a variety of skills makes learning statistics on your own uniquely hard.
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Something about lab grown meat that just turns people's minds off.
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I can't be sure that they used an LLM but I'm leaning towards it. I'm going to look through the links and see if they are even relevant to the scope. Because if they aren't, using a LLM is just the cherry on top.
.@NBCNews claims that @SecKennedy's recommendation to fry potatoes in beef tallow - rather than the seed oils used today - "isn’t backed by scientific research.". Here is a basketful of studies that tell a different story: 🍟1/7.
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RT @JeffNippard: I���m eating lab grown meat the second it’s mass market ready. It’s biologically identical to animal meat and will reduce su….
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RT @learnfromerror: My new paper on BJPS is linked to on this blogpost: Severe Testing: Error Statistics vs Bayes Factor Tests. I propose t….
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I would think a meta analysis is better, all else equal? The larger N doesn't make it more enticing.
You put more trust in a comprehensive meta-analysis of the existing literature, or a single study that's larger than that entire literature?.
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Hey @grok. who was the most famous person to visit my profile? doesn’t need to be a mutual, don’t tag them, just say who it was.
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notebooklm is actually kinda dope. I can listen to an academic paper now as if it was being spoken about on a podcast.
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As a student, I wouldn't mind having more exposure to doing Descriptive Analysis. I can confirm, we spent a lot of time on inference than anything else.
Highly enjoyed this new overview of regression modeling pearls by @Lester_Domes 👉
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If there's one valuable thing that I've learned after cleaning data for several online surveys, is how to ruin the day of someone cleaning data for an online survey I just filed out.
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RT @learnfromerror: Here's a new paper of mine just out (online) in BJPS: Severe Testing: Error Statistics vs Bayes Factor Tests. https://t….
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RT @vikkypaedia: This is crazy…!😂. Springer Nature book on machine learning is full of made-up citations. @Microbi….
retractionwatch.com
Would you pay $169 for an introductory ebook on machine learning with citations that appear to be made up? If not, you might want to pass on purchasing Mastering Machine Learning: From Basics to Ad…
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Additionally, I think it's cool the author included some exposure to Measure Theory. So, if you've at the very least taken Discrete Math, you can read this book. Ch 1 helps you with some of the things you might have forgotten.
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