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ivansavz
searching PlanetScale…
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8 ms
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61.
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by
ivansavz
1y ago
Can you describe how to access this feature? I can't find anything about this online, and I asked Claude on command line and nothing comes up for "learning mode" Seems very cool.
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ivansavz
1y ago
I love the simulations. They are such a good way to learn STATS... you can still look at the theorem using math notation after, but if you've seen it work first using simulated random samples, then the math will make a lot more sense.
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ivansavz
1y ago
https://archive.is/bxEtW
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by
ivansavz
1y ago
Or with and .assign: ( purchases.loc[ lambda x: x["amount"] < 10 * x.groupby("country")["amount"].transform("median") ] .assign(total=lambda df: df["a
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ivansavz
1y ago
Hi Matt! Big fan. The first that I thought when I read this article was "How would Matt use his .assign-chain-kung-fu on this one" and I tried import pandas as pd purchases = pd.read_csv("https://www.sumsar.
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ivansavz
1y ago
Hahahah... Yes, contributing to the frequency tables. At least we're not including the symbols in question in our comments, so as not add to the imbalance!
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ivansavz
1y ago
> do you still intend to publish a guide to statistics? Yes! Very much so. I'm in the final stages of cooking it right now, hoping to make it available for sale in the coming months. Statistics is by far the hardest subject I'v
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ivansavz
1y ago
Here are the concept maps from the books that might be interesting for anyone learning these topics: - https://minireference.com/static/conceptmaps/math_concepts.p... - https://minireference.com/st
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ivansavz
1y ago
Nice to see adults (re)learning math. It's one of the rare subjects that are guaranteed to provide "knowledge buzz" and also widely applicable. <shameless plug>For other adults interested in learning math, check out my
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ivansavz
1y ago
Non-paywall link: https://archive.is/IJcOI
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ivansavz
2y ago
Very interesting. I was thinking of scaling this up by adding Sunday too, but offline mornings might be even better... I'll look into adding a schedule in the router. I think it might be helpful to program the rule to start in the desi
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ivansavz
2y ago
I'm living on my own now so I don't have experience with the group version of this. I try to be proactive if I know I'm meeting someone to remind them to call/text and not expect Signal/Telegram comms. The only thin
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ivansavz
2y ago
One thing that has been working really well for me this year is the "internet Shabbat" rule: 24 hours of no TCP/IP every week. Friday night I pull the plug on the modem + turn off data on my phone, then enjoy all of Saturday
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ivansavz
2y ago
Wow thanks for the plug! Here is also the concept map from the book for people to see what topics are covered in it: https://minireference.com/static/conceptmaps/math_and_physic... Since you mentioned DSP, you mig
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ivansavz
2y ago
If anyone is interested in trying this, here is some Python starter code you might find useful: https://github.com/minireference/lulu-api-client?tab=readme-... This worked four years ago when the API was still launched
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ivansavz
2y ago
Which JASP analyses would you recommend? I think the Bayesian linear regression is cool, but I'm not a big fan of the Bayes Factors tests, since they are very sensitive to the choice of priors. If we just switch from p-values (with 0.0
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ivansavz
2y ago
Thanks for the plug! If anyone is interested in the "No Bullshit Guide to Math & Physics," you can check out the extended PDF preview, which includes a free chapter: https://minireference.com/static/excerp
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ivansavz
2y ago
Non-paywall link: https://archive.is/tYZLX
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Publish or perish culture blamed for reproducibility crisis
(nature.com)
2 points
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ivansavz
2y ago
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1 comments
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ivansavz
2y ago
A couple of years ago I discovered the MacOS accessibility feature "Speak selection" under "Accessibility > Spoken Content." I've set up a keyboard shortcut for it, which allows me to take any ebook in PDF format
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ivansavz
2y ago
Yesterday, I saw a thought provoking talk about the future of of "math jobs" assuming automated theory proving becomes more prevalent in the future. [ (Re)imagining mathematics in a world of reasoning machines by Akshay Venkatesh]
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ivansavz
2y ago
Nice. I see you cover hierarchical (multilevel) linear models, which is already a big step up from the techniques normally covered in STATS101. The general advice about measuring/comparing models also seems useful.
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ivansavz
2y ago
I've been working on a introductory STATS book for the past couple of years and I totally understand where the OP is coming from. There are so many books out there that focus on technique (the HOW), but don't explain the reasoning
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ivansavz
2y ago
I recently learned[1] that he didn't write this book. He was telling stories to Ralph Leighton, who then wrote the books, and there is reason to believe many of the stories were embellished/enhanced. I'm kind of disappointed
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ivansavz
2y ago
I like the idea of math as "self help." People don't realize it, but the more math you learn, the easier/simpler life becomes... In other words, people learn math not because they like complexity, but because they are la
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ivansavz
2y ago
> What is probabilistic programming actually useful for? You can think of a probabilistic programming language as a set of building blocks for building statistical models. In the olden days, people used very simple frequentist models ba
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ivansavz
2y ago
Nice! The key step of the derivation is counting the "number of ways" to get the histogram with bar heights L1, L2, ... Ln for a total of L observations. I had to think a bit why the provided formula is true: choose(L,L1) * c
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ivansavz
2y ago
I recently watched a talk[1] on this exact use case: a RAG system that runs on localhost with a simple web UI, and based on very powerful text processing, and a simple backend (PHP and sqlite3 with FTS and vector search extensions). You can
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ivansavz
2y ago
Not the OP, but I think I know what wongarsu is referring to. In order to make an object turn, it needs to experience an centripetal acceleration (towards the centre of rotation). This is the force causing objects to change trajectory. If t
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ivansavz
2y ago
demo video: https://www.youtube.com/watch?v=MOdSeUp8YcE paper: https://arxiv.org/abs/2405.18614
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