Intern with our @apple research group! I'm seeking a PhD student intern exited about ML for beginners + interactive dev tools for prototyping ML. Research needs UX design + coding skills. We write HCI papers🌈
DM/email me if interested!
→ https://t.co/XrQ8G01dh0
Logistics: Internships can last up to a year, depending on starting date. Winter, spring, and summer 2023 internships are all possible (earlier is ideal!). Working with me is in-person @Apple office Pittsburgh, PA (with relocation assistance) 🍎🏢
Intern with our @apple research group! I'm seeking a PhD student intern exited about ML for beginners + interactive dev tools for prototyping ML. Research needs UX design + coding skills. We write HCI papers🌈
DM/email me if interested!
→ https://t.co/XrQ8G01dh0
Our research group @apple is recruiting PhD student interns working in #visualization + #machinelearning. Past interns have published award-winning papers and deployed interactive data tools that impact billions.
DMs open. Come work with me!
→ https://t.co/N5CSZkVHCS
I’m really excited to share our work on Improving Human-AI Partnerships in Child Welfare:
Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support, which won a Best Paper Honorable Mention Award🏅 at #CHI22! Preprint: https://t.co/XGK53xnKEF🧵]
Our research group at @Apple is recruiting PhD student interns working in #visualization + #machinelearning. Past interns have published papers and deployed interactive data tools that impact billions.
Reach out if you are interested!
→ https://t.co/gfhhygjqOF
Our research group at @Apple is recruiting PhD student interns working in #visualization + #machinelearning. Past interns have published papers and deployed interactive data tools that impact billions.
Reach out if you are interested!
→ https://t.co/gfhhygjqOF
Just trying to edit my dissertation (on version control) over here, but @googledocs is throwing down a pretty strong argument for Git as the one true version control tool. Like wow.
It's here! Today we launched the #HAXToolkit, practical tools for creating responsible Human-AI eXperiences. https://t.co/iXyTl7kvwP
This was a labor of love, and sometimes sweat and tears, by many @Microsoft. This is the #HAX story. Opinions my own. #AI#ux#responsibleAI
😒 Urgggg do I really have to search the whole bag now to find the close squiggle bracket } ? Raising a baby is hard. @cheerios didn’t have syntax in my day.
“Work by me and my co-author *Animals Against Hope*” 🐄 🐓Um... when authors have way too much faith in autogenerated closed captioning and don’t manually correct it. #CHI2021
Perfectly scheduled 💉2/2 to stay in bed sick for several days afterwards and watch #CHI2021 with the whole family like it’s an old fashioned TV marathon 🐈🐶🐶👶🏻
@mcoblenz Style conventions makes me think commenting, naming, code structure. I want to talk about even bigger style changes that fundamentally warp how the language is used
Help: Are there PL terms to describe an "dialect" of a programming language brought about by the libraries involved? E.g. the grammar and style conventions of a python/pandas code looks super different from python/pyspark code. If python was english I'd say these are two dialects
Perhaps this is a phenomenon of particularly (socially speaking) distributed languages? Python and JS each have thousands of community frameworks and libraries each shaping language usage in different ways
When someone says they don't like JS as a language, I laugh. 🤷♀️ That's like saying you don't like the English language because you don't like the sound of a Minnesota accent. How do we capture all the different "dialects" of a programming language based on context?
HELP: Do you know any data or study to support the claim that Git is hard for novices to learn? I want to express exactly what is said in this xkcd comic. Seriously tho, is it OK to cite xkcd in my phd dissertation as evidence? https://t.co/mrcMfU0if3
I run into this issue about random developer "common knowledge" things all the time. There just isn't a handy academic source to "legitimize" community norms/beliefs that are all over the internet and stackoverflow or whatever. How do you (more mature researchers) handle that?