About Me
I am newly retired and eagerly exploring my next chapter! You can follow along in this journey at My Next Chapter blog.
Previously, I was a journalist and data professional equally at home analyzing data, coding tools for journalists, and covering technology. My most recent paid job was director of editorial data & analytics at Foundry (an IDG Inc. company), which publishes tech Web sites including Computerworld, CIO, PCWorld, and Macworld; and author of InfoWorld's Do More With R series .
My book, Practical R for Mass Communication and Journalism, is available from publisher CRC Press and Amazon (you can see Six chapters free online).
I've taught workshops at ProPublica, and Investigative Reporters and Editors conferences and keynoted the 2020 European R User Meeting.
I received an ASBPE national gold award for impact/investigative online excellence (see story) and two ASBPE national golds for best how-to article (see 2014 and 2017 winners) I was also named the Digital Analytics Association's top practitioner in 2021 for work analyzing data at my job and in my community I was also winner of a 2023 Neal Award for best instructional content.
I hold an Extra-class ham radio license and was honored by the Association of Radio Amateurs of Bosnia & Herzegovina "for extraordinary contribution to transmitting humanitarian messages of the citizens of Bosnia-Herzegovina" during the 1992-95 war.
My other hobbies include photography, travel, hiking, snowshoeing, crocheting, and classical piano. And, I'm somewhat obsessed with both generative AI and the R programming language.
You can follow me on Mastodon at @smach@masto.machlis.com and my searchable app with my Mastodon posts, as well as on LinkedIn.
My Recent InfoWorld and Computerworld Articles
Maker of RStudio launches new R and Python IDE 2024-06-24
5 easy ways to run an LLM locally 2024-03-28
How to run R in Visual Studio Code 2024-02-15
Posit lays off R Markdown, knitr creator Yihui Xie 2024-01-05
8 ChatGPT tools for R programming 2023-12-21
Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use 2023-11-21
My Data-Related Mastodon Posts
đź‘€Fred Moser has an early version of a "lightweight Tabulator.js integration for R/Shiny" -- an HTMLWidget for Tabulator.js to create interactive, editable HTML tables.
{amtabulator} #rstats 📦info: https://fxi.io/amtabulator/
More on the underlying Tabulator.js library: https://tabulator.info/
#HTMLwidget @rstats (2024-11-08 21:37:10) >>
Ezra Levin says: "I'm engaging with election analysis with a lot of humility and curiosity because I was very wrong."
An admirable view!
I, too was very wrong. My view now:
* I had no idea how the national electorate would vote this cycle or why they voted the way they did, and I probably never will.
* I love data in general, but I currently find national political polling data more frustrating than interesting or useful.
So ends my foray into US electoral Mastodon.
#USPol #USPolitics (2024-11-08 21:04:23) >>
@mekkaokereke Didn't think she'd win white women, but I did believe she'd get within -3. I'm waiting for Pew post-election data to fully understand voting by demographics (exit polls aren't great for that). That said, anyone who wants to understand the white vote this cycle shouldn’t miss crosstabs by religion. Harris won all non-Evangelical/born-again whites (not just women) 57-40, according to CNN exit poll data. “No religion” whites went for Harris 71-27.
https://www.cnn.com/election/2024/exit-polls/national-results/general/president/0 (2024-11-07 14:49:23) >>
New open-source speech-to-text model Moonshine “returns results faster and more efficiently than the current state of the art, OpenAI’s Whisper, while matching or exceeding its accuracy” one of its creators says. “Key improvements are an architecture that offers an overall 1.7x speed boost compared to Whisper, and a flexibly-sized input window.”
Blog post by Pete Warden: https://petewarden.com/2024/10/21/introducing-moonshine-the-new-state-of-the-art-for-speech-to-text/
GitHub: https://github.com/usefulsensors/moonshine
Paper: https://arxiv.org/abs/2410.15608
#GenAI #speech2text (2024-11-07 13:16:22) >>