Ethan Nguyen

@bananadata48

(data scientist,decision modeler)

Vrijeme pridruživanja: studeni 2018.

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  1. proslijedio/la je Tweet
    31. sij

    causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

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  2. proslijedio/la je Tweet
    30. sij

    Pandas 1.0 is here! * Read the release notes: * Read the blogpost reflecting on what 1.0 means to our project: * Install with conda / PyPI: Thanks to our 300+ contributors to this release.

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  3. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  4. proslijedio/la je Tweet
    21. sij

    I'm working on a new series of notebooks to teach probability and Bayesian statistics. The first notebook starts with a famous example of the conjunction fallacy, Tversky and Kahneman's Linda the banker. Want to play along at home?

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  5. proslijedio/la je Tweet
    17. sij

    My date: “You’re my number 1.” Me: “Are you zero indexed or one indexed?” Me: *single*

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  6. proslijedio/la je Tweet
    12. pro 2013.

    Data science is the art of getting open source tools you've previously only read about on Twitter to work in your company's pipeline.

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  7. proslijedio/la je Tweet

    dplyr::across() is now available in the dev version of . across() can be used inside mutate() or summarise() when you want to apply one (or several) function(s) to a selection of columns.

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  8. proslijedio/la je Tweet
    21. pro 2019.

    ‘dockr’: easy containerization for R {}

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  9. proslijedio/la je Tweet
    17. pro 2019.

    Featuring demographic data and turnout figures dating back to 2010, our results spreadsheet is now available:

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  10. proslijedio/la je Tweet
    4. pro 2019.

    Excited to be designing a graduate course next semester I'm calling "Modern statistics and causal inference for data science" (STAT-GB 3386) Will use and free textbooks, & share course page when it's ready. Preliminary outline:

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  11. proslijedio/la je Tweet

    Much of what’s being sold as "AI" today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides:

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  12. proslijedio/la je Tweet
    22. lis 2019.

    I made a notebook with examples of cool Python features that either took me a long time to find out or were too intimidating for me to use. I especially focus on the features I find useful for machine learning.

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  13. proslijedio/la je Tweet

    There are lots of blog posts out there claiming to teach you how to use deep learning (typically RNNs) to predict stock prices, FX rates, BTC price, from past price data. Is it actually possible? Well, mostly not. A thread.

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  14. proslijedio/la je Tweet

    tidyr 1.0.0 now on CRAN 🎉: — new pivot_longer() and pivot_wider() functions, better rectangling tools (unnest_longer(), unnest_wider(), hoist()), improved expand_grid(), new (un)nesting interface, and much much more!

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  15. proslijedio/la je Tweet

    I didn’t make this but I choose to believe me from a parallel universe did

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  16. proslijedio/la je Tweet
    22. kol 2019.

    1-click deployments of applications to Heroku with the jupyterlab-heroku extension for JupyterLab. For more details:

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  17. proslijedio/la je Tweet
    20. kol 2019.

    Have I told you I'm honored to an advisor to this cool non-profit organization that educates future AI talent for social good in Vietnam? It's amazing witnessing the progress the students made in one year. Here's their first open-source project. Feedback & contribution welcome!

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  18. proslijedio/la je Tweet
    8. kol 2019.

    Cynthia: You wanted to talk to me about running tips? Me: Yeah, forget that. How did you get a one-year-old to sit in a stroller for THREE HOURS Cynthia

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  19. proslijedio/la je Tweet
    7. kol 2019.

    Client: We'd like to do what big AI labs like OpenAI and DeepMind are doing. Me: You mean getting into a $1B debt? Client: Me: Client: So is there any free pretrained model that you suggest that we use?

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  20. proslijedio/la je Tweet
    6. kol 2019.

    In my first job the dev lead took the time to explain concepts to me, allowed me to try new things (and fail), recognised the effort I put in and the improvement I made, and was always very kind. I so wish that everyone could have such an experience in their first gig

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