Joy Tay

Data enthusiast 💙data analytics, Python, R, culture 🌏

[ABC News @ABC]

A doctor who was found guilty of trying to kill his wife during an altercation on a Hawaii hiking trail was denied a new trial, after a judge found there was no evidence of outside influence on the jurors who convicted him of attempted manslaughter. https://t.co/I7piEtFgcV

[Daniela Witten @daniela_witten]

The Bias-Variance Trade-Off & "DOUBLE DESCENT" 🧵

Remember the bias-variance trade-off? It says that models perform well for an "intermediate level of flexibility". You've seen the picture of the U-shape test error curve.

We try to hit the "sweet spot" of flexibility.

1/🧵

[Thomas Lin Pedersen @thomasp85]

Reminder: I'll be giving a free #ggplot2 webinar tomorrow at 8.30 PM CET. Come join me and let us all exit the quarantine a bit more educated than we came in. #rstats

Link to the live stream: https://t.co/LxwwSsESQM

[Zev Ross @zevross]

I had the privilege of teaching a two-day workshop, Modern Geospatial Data Analysis with R, at the @rstudio conference with an amazing group of TAs and participants. I've made the slides available here: https://t.co/rSzPTt6VBk, #rstats, #rspatial, #gischat

[Massimo @Rainmaker1973]

Ambiguous grid by Kokichi Sugihara of Meiji University in Japan. A mathematically calculated combination of perspective and the physics of reflection produce this striking illusion that works in many configurations https://t.co/PCrqmzmpLs [more: https://t.co/EDIrJfukaN]

[Dan Bader @dbader_org]

🚀 #Python 3.8 has been released! Learn what's new and how to use it at https://t.co/1k4mSC1bvs What's your favorite 3.8 feature?

[Tomek Sułkowski @sulco]

That feeling when you first discovered `document.designMode`

[GitHub @github]

Calling all machine learning developers and data scientists 👀

Today we're excited to share the CodeSearchNet Challenge and the release of a large dataset for natural language processing and machine learning.
https://t.co/kXDH4FRqhq

[Olivier Grisel @ogrisel]

Slides https://t.co/pEIX9R3FGb and notebook https://t.co/nurXfuIdJV for my presentation on scikit-learn's Histogram Gradient Boosting at @EuroSciPy (similar to the one I gave earlier at @europython)

[Hadley Wickham @hadleywickham]

Excited to announce that I've started work on a 3rd edition of the ggplot2 book (with help from @djnavarro) — big news for this edition is that Springer has allowed me to share it online: https://t.co/6kgkt5QCyq 📊📒🤓🎉 #rstats

[Jeffrey Heer @jeffrey_heer]

Excited to share our #datavis notebook curriculum for learning visualization! Visual encoding, data transformation, interaction, maps, & more!

Into Python? Here's Altair + Jupyter: https://t.co/LJ0QWE1in9

Prefer JavaScript? See Vega-Lite + @observablehq: https://t.co/1B1KkvOFct

[Matthijs Berends @msberends]

My new ‘clean’ package was just released on CRAN 📦🎉 For data cleaning (not tidying), I think our community was still lacking a neat solution that makes data cleaning fast and easy with functions that kind of 'think on their own' to do that. #rstats https://t.co/YZUS6tIrxr

[Thomas Lin Pedersen @thomasp85]

ggforce 0.3.0 has landed on CRAN. Star of the show is a facet for creating scatterplot matrices and beyond. Read all about it in the blog post #rstats #ggplot2 https://t.co/XvcknBMz03

[vickdata @vickdata]

I have been working with classifiers a lot lately and looking for better ways to evaluate them. I have written up my review of four of the best #python libraries I've found for interpreting #machinelearning (yellowbrick, ELI5, MLxtend and Lime). https://t.co/htcXxS9K7m

[Simon Kuestenmacher @simongerman600]

I might be a few days late to the party but this map is awesome! It shows the path of the sun on summer solstice (June 21) in the northern hemisphere. Amazing work by the ingenious @neilrkaye. Source: https://t.co/U2Yv2AzqEd

[Kirk Borne @KirkDBorne]

"Data Fallacies to Avoid" — Illustrated Collection of Common Mistakes When Analyzing Data: https://t.co/CxYW6FQT26 #abdsc by @geckoboard
—————
#BigData #DataScience #AI #MachineLearning #Statistics #DataEthics #DataLiteracy #StatisticalLiteracy #DataScientists #DataFallacies

[Harvard Business Review @HarvardBiz]

Are you letting data teach you — or just using it to confirm what you already know? https://t.co/4xyCNpGN71

[Max Kuhn @topepos]

All of the analysis R code for our Feature Engineering and Selection book is now on GitHub at https://t.co/f8shfphAEg

The book can be found at https://t.co/8Zwzqs4LcW

#rstats #DataScience #statistcs #machinelearning

[🦋 Tom Mock @thomas_mock]

My "Intro to Tidy Stats in R" Webinar is now uploaded! You can watch it at https://t.co/MYCARXrFJs

I also publicly shared the code on RStudio Cloud where you can instantly use the code, data, and packages without any installations!
https://t.co/x5XYvBgTUr

#rstats #tidyverse

[Timo Grossenbacher @grssnbchr]

How to make a (bivariate) choropleth map in #RStats – new tutorial by @angelozehr and me: https://t.co/bWqbIv562E #ddj #rddj