Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @pmbaumgartner
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @pmbaumgartner
-
Prikvačeni tweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
I also created an app to serve as an example of some of these concepts. It uses data from a research paper that evaluated THC and CBD lab measurements of cannabis products in Washington State. https://dank-data-explorer.herokuapp.com/ pic.twitter.com/3miTDuRbR2
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The new stuff includes two themes for Altair that match the default theme of streamlit apps.pic.twitter.com/23s27bDzoq
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I combined the content from my previous "Intermediate Streamlit" article plus some new notes I'd taken into my own "Streamlitopedia". If you're using
@streamlit, maybe there's something helpful in here for you. https://pmbaumgartner.github.io/streamlitopedia/ …pic.twitter.com/RUUSfq05xC
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
The way we talk about data science and focus so much on methods, we actually incentivize working with *bad* data, rather than spending the time to collect good data and then use easy methods with it
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Snarky, but some good points. Reminds me of Gelman's time-reversal heuristic.https://behavioralscientist.org/principles-for-the-application-of-human-intelligence/ …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
- GitHub Repo Spotlight №6 NLP library that incorporates many Deep Learning-based models into one easy to use package called gobbli: https://github.com/RTIInternational/gobbli …
#NLP#DataScience#MachineLeaningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
I have a new paper with
@bocowgill, forthcoming in AEA P&P "Algorithmic Social Engineering" We apply classic strategic communication models to "fair machine learning". In a nutshell: nudging people to change behavior by tweaking an algorithm is hard! 1/ https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3523999 …pic.twitter.com/3JHQsR8Aiu
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
The story of this paper is Paul & I wanted to highlight: (1) how opaque inference is to most scientists (is essentially superstition) (2) how bad inferential methods can become normative So the paper combines both. I wrote the title. Paul did the rest.https://twitter.com/psforscher/status/1222639310371020801 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
"Science is messy, and the results of research rarely conform fully to plan or expectation. ‘Clean’ narratives are an artefact of inappropriate pressures and the culture they have generated." Fabulous editorial from
@NatureHumBehav. More editors sign on?https://www.nature.com/articles/s41562-020-0818-9?utm_source=nathumbehav_etoc&utm_medium=email&utm_campaign=toc_41562_4_1&utm_content=20200122&WT.ec_id=NATHUMBEHAV-202001&sap-outbound-id=DE998B2EB6C2788D6E52B117E719376B45B763A0&mkt-key=005056B0331B1ED782F5E028C8C89C2C&fbclid=IwAR2jolOQS37IumvWiVwdIKm8PrDZlUZVkq2yRtgx9leQq0dE9b_kPIBD938 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Anyone know of any work visualizing confusion matrices by density or count? I feel this is a nice way to get a holistic view of classifier performance and understanding how relatively often each outcome happens. (300 points plotted below)pic.twitter.com/JAwqSH48ne
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My favorite genre of Hacker News post is <random link to page of SQLite docs>.pic.twitter.com/wwa03F3WQU
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je Tweet
The coda to
@NPRKelly's interview with@SecPompeo is shocking. As described on@npratc: He screamed, swore at her, and said she couldn't find Ukraine on a map. He ordered staffers to bring a blank map. She pointed to Ukraine and thanked him for his time.https://www.npr.org/2020/01/24/798579754/transcript-nprs-full-interview-with-secretary-of-state-mike-pompeo …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Baumgartner proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Peter Baumgartner proslijedio/la je Tweet
A thread of classifiers learning a decision rule. Dashed line is optimal boundary. Animations with
#gganimate by@thomasp85 and@drob.#rstats Logistic regression {stats::glm} with each class having normally distributed features. (1/n)pic.twitter.com/kKmqdO2zGyPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anyone using ALBERT from
@huggingface transformers for non-benchmark tasks? For some reason it won't work for me on a classification task. Training loss an order of magnitude (or more) higher on ALBERT compared to BERT and RoBERTa (base and large).Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I have used the python version of this for this exact use case: sending variable names over email. Super helpful. ", ".join(df.columns)https://twitter.com/ludmila_janda/status/1217486240058134528 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Triangle folks: come hang out with Jason and I and learn about the NLP library we're developing tonight!https://www.meetup.com/Triangle-Computer-Vision-and-Natural-Language-Processing/events/xljwzqybccbsb/ …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"Sentiment Analysis" is a synecdoche for qualitative coding.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.