asbarros, to datascience

A very useful resource, that has some cool visual explanations on some important concepts

https://seeing-theory.brown.edu/

spelled_with_a_k, to Hockey
@spelled_with_a_k@bardown.space avatar

It should come as no surprise that Freddy and Sway have filed for arbitration. Not only is it their right, but they absolutely have earned it.

If you've been following along, Freddy, Sway (& Cliffy) were the first players to go through my report card system.

You can learn more about it on my Substack! https://checkthisdata.substack.com/

@hockey @bostonbruinsgameday @hnom

scott_bot, to random
@scott_bot@hcommons.social avatar

deleted_by_author

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  • Homebrewandhacking,

    @scott_bot

    Probably want some # for that.

    Let's see if there are boost groups:

    @datadon @datascience

    OK that's all I can find for you.

    Good luck!

    stemcoding, to datascience
    @stemcoding@mastodon.social avatar

    Here I am at the University of Maryland talking about our initiative. It was at an education conference for physicists who are interested in data science (http://dsecop.org). Hopefully we'll have some more collaborators soon! @edutooters

    berlinbuzzwords, to datascience German
    @berlinbuzzwords@floss.social avatar

    Berlin Buzzwords was a huge success and a lot of fun. Have a look at our wrap-up post:
    https://2023.berlinbuzzwords.de/2023/06/29/this-was-berlin-buzzwords-2023/

    ramikrispin, to vscode
    @ramikrispin@mstdn.social avatar

    Getting close to finish the Python 🐍 setup with VScode 💻 and Docker 🐳 tutorial. Working now on the last part while stuck on an ✈️ for 14 hours 👇🏼

    https://github.com/RamiKrispin/vscode-python

    null_coalesce, to ChatGPT

    It's kind of ironic that ChatGPT is so terrible at Linear Algebra 🤖 🧠 💥

    lig, to python
    @lig@fosstodon.org avatar
    ramikrispin, to datascience
    @ramikrispin@mstdn.social avatar

    Are you curious how and why the docker engine is using layers during the build time? Updated the new Docker 🐳 and Python 🐍 tutorial with a short explanation about the image layers ⬇️

    https://github.com/RamiKrispin/vscode-python#the-image-layers

    datascience, to datascience

    Overview of statistical concepts in datascience: could be usefull in case you need some preformulated text to share with stakeholder... https://towardsdatascience.com/ultimate-guide-to-statistics-for-data-science-a3d8f1fd69a7

    errantscience, to datascience

    Data management is always something you should plan out at the start of the project... but no one ever does

    stemcoding, to datascience
    @stemcoding@mastodon.social avatar

    I got to attend the Data Science Education Community of Practice (which is connected to the American Physical Society) conference this week at the University of Maryland. I learned a lot! @edutooters

    rpodcast, to datascience
    @rpodcast@podcastindex.social avatar

    Episode 128 of the @rstats @rweekly Highlights Podcast is out now! https://podverse.fm/episode/XgMBQEZeW

    📄 Converting a Word table to markdown @mattdray
    🌉 Sharing your model with others (Matt Kaye)
    🐜 Debug package builds with local containers @statnmap

    Grab yourself a new podcast app like @podverse or @merryoscar's Fountain for an easy way to interact with the show and your hosts! https://newpodcastapps.com

    h/t @mike_thomas @_ColinFay 🙏

    errantscience, to datascience

    Data management is always something you should plan out at the start of the project... but no one ever does ⁠




    erinmikail, to opensource
    @erinmikail@mastodon.social avatar

    Who are the coolest humans I know streaming or building cool collaborative demos in or

    Asking for me - trying to make goals for Q3 and coming up with ideas on who to collaborate with for my day job at

    Boosts appreciated! TY in advance.

    pyOpenSci, to python
    @pyOpenSci@fosstodon.org avatar

    hey / biomedical friends! we are looking for a second reviewer to review biocypher - a package that provides a framework for creating biomedical knowledge graphs - the wonderful @arianemsasso is editor for this one. please repost!!

    ramikrispin, to opensource
    @ramikrispin@mstdn.social avatar

    Prompt engineering with Pezzo 🚀👇🏼

    Pezzo is an platform that provides tools for prompt engineering at scale. That includes features for managing prompts, creating workflows, deploying, and observability.

    It supports prompts with tools such as , , AI21labs, etc., and is based on node.js and runs on .

    License: Apache 2.0 🦄

    Resources 📚
    Source code: https://github.com/pezzolabs/pezzo
    Documentation: https://docs.pezzo.ai/docs/intro

    oldmapgallery, to maps
    @oldmapgallery@sciencemastodon.com avatar

    About fifty years after Smith's seminal map for the Geology of Britain and we see numerous 19th century British publishers including some version of it into their atlases, such as this from c. 1860 by Bradbury - Agnew. Hand colored to distinguish the strata.

    Still a relatively young science at the time, but clearly making an impact, and unveiling an important key to understanding our world.

    stevelord, to climate
    @stevelord@bladerunner.social avatar

    Learning me a on the tiny X230 to try and sleep at night. Processing 83 years of ERA5 2m temperature data from CDS:

    A plot of the earth using Robinson projection showing the mean 2m temperature for Feb 2023.

    brodriguesco, to datascience
    @brodriguesco@fosstodon.org avatar

    Si vous avez pas pu assister au vous trouverez la présentation ici http://is.gd/repro_avignon
    si vous avez apprécié, jetez un œil sur mon livre qui détaille le tout! https://raps-with-r.dev
    aussi dispo sur leanpub https://leanpub.com/raps-with-r/ et Amazon! https://amazon.fr/dp/B0C87H6MGF

    meresar_math, to datascience

    I didn't get an academic job (hence my radio silence: I've mostly been moping 😔 and brushing up on my python/R) and am currently looking at a pivot to data science/industry in general. I've got plans for learning the stuff I need to learn and I have a couple of bootcamp-y things lined up so I can get some more industry contacts and a line on the resume that looks vaguely like relevant experience.

    If anyone has advice about this sort of thing, I'd love to chat!

    Cyberkid1987, to tech Greek

    The 15 Key Responsibilities of a Data Scientist

    ngaylinn, to programming

    Looks like I'm gonna have to learn to code in R for analyzing experiment data from simulated evolution and real world cell cultures.

    R for Data Science looks like a good book on the topic, but any other recommendations I should check out?

    ian, to random
    @ian@phpc.social avatar

    The ability to estimate when you have no data is a superpower.

    It's easier to get to a range for this than an exact number.

    Start with a minimum and maximum below/above which you'd be genuinely surprised if the value is outside the bounds.

    Then split the probability in half (not the range; not normal). That split is ur predicted median.

    Then do the same between lower bound and median for Q1. Then for median and upper bound for Q3.

    Then use sampling to get an average.

    ian, to random
    @ian@phpc.social avatar

    Bayes was like John Skeet (not doing full-time the thing he's known for) but for creating founding principles of ML

    Bayesian statistics forces you to state your position (and bias) before you start...and then understand how new data changes that position.

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