@smach@masto.machlis.com
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smach

@smach@masto.machlis.com

Director, editorial data & analytics at Foundry (an IDG company). Author of Practical R for Mass Communication & Journalism. A bit obsessed with both #RStats and #genAI. Learning #Python.

Write about R & #GenAI for #InfoWorld. She.

First joined Mastodon (at Fosstodon) on Oct 27, 2022.

Website: https://www.machlis.com
Apps: https://apps.machlis.com

Other interests: #Photography #DigitialDarkroom #Running #Bicycling #Crochet
Learning #ASL

Was @sharon000 on Twitter (no longer active)

This profile is from a federated server and may be incomplete. Browse more on the original instance.

smach, to rstats
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smach, to rstats
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The {workflowr} #rstats 📦 “helps researchers organize their analyses in a way that promotes effective project management, reproducibility, collaboration, and sharing of results.
“Workflowr combines literate programming (knitr and rmarkdown) and version control (Git, via git2r) to generate a website containing time-stamped, versioned, and documented results. Any R user can quickly and easily adopt workflowr.”
By John Blischak & others
https://workflowr.github.io/workflowr/index.html

@rstats

smach, to python
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uv is “an extremely fast Python package installer and resolver, written in Rust. Designed as a drop-in replacement for pip and pip-compile. uv is backed by Astral, the creators of Ruff.” - 📦 website
https://github.com/astral-sh/uv

“The company’s benchmarks show uv to be 8x to 10x faster than pip and pip-tools without caching, and 80x to 115x faster when running with a warm cache.” - InfoWorld
https://www.infoworld.com/article/3712790/astral-unveils-extremely-fast-python-package-installer.html

#python #InfoWorld @python

smach, to rstats
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“It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all.” The {callr} #rstats 📦 “does exactly that.” By @gaborcsardi & others
https://callr.r-lib.org/
@rstats

smach, to llm
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Of course the airline is liable if a chatbot gives customers bad information - the same as if an employee sticks a lower price on an item by mistake, or a sale sign is posted too early, or a price scanner makes an error. Arguing otherwise is ridiculous.
Better testing pre-deployment might have helped prevent this, but there's no guarantee. LLMs may not be human, but they can be unpredictable and imperfect.
https://wapo.st/49m97Ta
#chatbot #chatbots #LLM #LLMs #GenAI

smach,
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@pomCountyIrregs You'd have to be crazy at this point in time to promote a product based on generative AI as being 100% accurate. I think most vendors are explaining that these tools make mistakes, but who knows if they all are.
Human customer service reps make mistakes too, but it would be surprising if a company argued that a human rep wasn’t really representing the company.

smach, to vscode
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ramikrispin, to python
@ramikrispin@mstdn.social avatar

This weekend, on Sunday afternoon none important facts 👇🏼

The Pandas Python library name is not related to the cute bear 🐼. Rather, it is derived from the term 𝐩𝐚𝐧el 𝐝𝐚ta.

Source: Wikipedia
Image: Midjourney

smach,
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@ramikrispin New to me! And somehow disappointing for no discernable reason

smach, to rstats
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The {explore} #rstats 📦 aims to offer “faster insights with less code for experienced R users.” It features interactive data exploration, automated reports, and a few key functions like describe, explain & abtest.
“Exploring a fresh new dataset is exciting. Instead of searching for syntax, use all your attention searching for interesting patterns in your data, using just a handful easy to remember functions.” By Roland Krasser
https://rolkra.github.io/explore/
#EDA @rstats

smach, to random
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WHY DO PEOPLE PUT SPACES IN FILE NAMES

smach, to random
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We've launched a generative AI tool that answers reader questions based solely on articles from Computerworld, CIO, CSO, InfoWorld and Network World!

Tool: https://www.cio.com/smart-answers/

Info about the Smart Answers app: https://www.cio.com/article/1303995/introducing-smart-answers-a-genai-tool-for-cio-com-readers.html

odr_k4tana, to random

Do yourself a favour and don't use the {likert} package in . It apparently isn't maintained anymore, uses close to EOL functions (even whe it still was maintained) and its documentation + usability is crappy as heck.

smach,
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@jbryer @odr_k4tana “You should continue to do unpaid labor updating software for my free use until the end of time” has always been a questionable long-term model.
In any case, I think we should all ask ourselves if we've left thanks to maintainers of great free software in addition to airing complaints and posting issues. And to try to offer feedback in a helpful and constructive way.

smach, to OpenAI
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Still amazed that I can convert audio to text on my PC for free with a local version of #OpenAI Whisper. Handles multiple audio & video formats and generates txt, srt & 3 more result files.

GitHub repo: https://github.com/openai/whisper - open-source MIT License!

Python library: https://pypi.org/project/openai-whisper/

Easy-to-follow installation video by Kevin Stratvert: https://www.youtube.com/watch?v=ABFqbY_rmEk

Even easier video for free cloud use via a Colab notebook https://www.youtube.com/watch?v=8SQV-B83tPU

#AudioToText #AI #ddj

smach, to rstats
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Kyle Walker: “This year, I’ll once again be hosting a webinar series with the University of Michigan’s Social Science Data Analysis Network (SSDAN)! This year’s series is titled Analyzing 2020 Census and 2022 ACS Data with R. The webinar series will take place this February and March and is completely free to attend. You can register for all three webinars from the link below: “

https://umich.zoom.us/webinar/register/WN_S82g8r1DTAyxb5Nbsf7Jhw#/registration

#rstats #tidycensus #USCensus #ddj @rstats

smach, to LLMs
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“If you last checked in on AI a few months ago, you might be surprised at how much the quality of the output has improved. While there are still errors and hallucinations, they are increasingly subtle and rare, and the quality of even first draft output has improved tremendously. It isn’t as good as good human work, but it is surprisingly capable.AI use is becoming normalized. And I think many people are not ready for what happens next.” - Ethan Mollick
https://open.substack.com/pub/oneusefulthing/p/what-can-be-done-in-59-seconds-an
#GenAI #LLMs #AI

smach, to USpolitics
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“This is an extremely weak and unimpressive win for Trump, and shows that he faces big trouble with independents and college-educated voters in the general election. I am struck by the clear anti-Trump shift by later deciders and his failure to decisively win on the economy.” - Geoff Garin, Hart Research, on NH primary results

“Exit poll, breakdown of NH GOP primary vote by party ID:
Republican: Trump 74-25%
Independent: Haley 61-37%” - Steve Kornacki, NBC

#NH #NHPrimary #USPolitics

anneapplebaum, to random
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Still marvelous to think that 110,000 people voted in the Iowa Republican caucus, yet it will be interpreted as sending a significant message about America. That's less than a third of the population of Bydgoszcz. (if your response is "where?" then you are making my point)

smach,
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@anneapplebaum If Iowa caucuses were statistically representative of US voter demographics, I’d pay attention to them. But they aren’t. At all. They skew so so heavily white and rural it's ridiculous, even for Republicans. Well over half of Americans live in metro areas with a million or more people. Iowa does not have one. Iowa's diversity index is 31%, according to the Census Bureau. US is 61%.

smach, to rstats
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The {rhdf5} #rstats 📦 “provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on [disk] through a completely portable file format.” Funded by the German Network for Bioinformatics Infrastructure & the Chan Zuckerberg Initiative. By Mike Smith & others

https://bioconductor.org/packages/release/bioc/html/rhdf5.html

#Bioconductor #bioninformatics @rstats

smach, to OpenAI
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Melissa Van Bussel: “📹 My latest video is all about how to use R to interact with APIs, using the httr2 package. No background knowledge about APIs is necessary ☺️ 🔗Check it out here: https://youtu.be/8tilyqp4bZY?si=9DqhrOfSCbrqUfIt
Uses and APIs

@rstats

smach, to rstats
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Intro to the {data.table} 📦 this Tuesday, January 16, 7 to 9 pm EST (6 pm local time) with Susanna Supalla, Ph.D at St. Louis. Free online MeetUp!
https://www.meetup.com/rladies-st-louis/events/298315363/

@rstats

njtierney, to random
@njtierney@aus.social avatar

Hello folks! I am focussing on trying to condense my reading into an RSS reader, and I was wondering if people could share some links to blogs that they follow?

I also understand that you can follow tags on mastodon with RSS, e.g., https://fosstodon.org/tags/rstats.rss

Current bloggers I follow:

@milesmcbain
@maelle
@PipingHotData
@hrbrmstr
@nrennie
@brodriguesco
@yabellini
@yihui

smach,
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@njtierney InfoWorld has an RSS feed with occasional new R news and features (some of them mine 😊 ). https://www.infoworld.com/category/r-language/index.rss

andrew, to random

I've been using Make.com to run automated stuff for a while, but didn't realize that it can work with branches, so now my Goodreads RSS feed magically gets fed to a Google sheet and gets autoposted to Mastodon

It's like modern version of Yahoo! Pipes!

smach,
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@andrew Is that with a free or paid account? I haven’t looked into Make.com but think I will check it out, thanks! Use Zapier and IFTTT but am not attached to either.

smach,
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@andrew Oooo thanks! Will read this weekend. I'm curious how you're hosting your plumber APIs, which I’m sure you explain. I have a few on my Digital Ocean server, but that requires running one's own Linux server with R, which I’m guessing you aren’t doing .

smach, to ChatGPT
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The {narrator} #rstats 📦 is a framework to generate “text narratives out of data and enhance them using #ChatGPT. Package is available in both R and #Python, with all core features and even syntax being the same or similar. Corresponding classes and data types are used in both languages:

You can analyze changes over time using narrate_trend() function: narrative_two <- sales %>% narrate_trend( measure = "Sales", date = "Date", dimensions = c("Region", "Product") ) narrative_two #> $

smach, to rstats
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R Markdown, knitr creator @yihui laid off from full-time job at Posit; will be working as a paid contractor there. My story for InfoWorld:
https://www.infoworld.com/article/3712061/posit-lays-off-r-markdown-knitr-creator-yihui-xie.html

#rstats @rstats @Yi

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