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Establishing a real life
#reprex: these two are pumped for#rstudioconf2032pic.twitter.com/GRw7YCMKAS
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Travis Gerke Retweeted
On "R is insufficient" to doing stuff at a job: "you probably don't want to work there" paraphrasing
@travisgerke#rstudioconf2020


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Goals: empower unicoRns to capture the salary they deserve, and empower data science hiring managers to recruit and appropriately compensate the unicoRns they need.
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With the help of a fantastic HR compensation consultant, I wrote R-centric job descriptions (slide 21) that map to the salaries shown on slides 22-23.pic.twitter.com/IRlLJT06uh
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Warnings re: companies that post "data scientist unicorn" job descriptions are valid; many have unrealistic expectations of a data scientist who may have little org support (source: http://bestbook.cool
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Happening in this
#rstudioconf block (1:23, Imperial ballroom): "UnicoRns are real"! I'll show salary data for data scientists across the US, and how R-centric job descriptions can be written to align. Details in thread.
https://unicorns-are-real.netlify.com/
https://github.com/tgerke/unicoRns-are-real …Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
Pumped for
#rstudioconf sessions to kick off this morning! If only I were 4 people; I would be in all sessions at once






I speak tomorrow at 1:20 and will share national data re: data scientist salaries and how these map to all you unicoRns
pic.twitter.com/T4YzwYJLfZ
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Unrelated to this list: shoutout to RStudio cloud capabilities: when hotel wifi didn’t provide sufficient signal, many of us resorted to mobile hotspots, effectively performing deep learning on GPUs from our phones. 2020 and all that jazz
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ridge penalty -> weight decay iteration -> epoch str_split() -> tokenization linear binary classifier -> perceptron iterative gradient descent -> backpropagation
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scalar -> 0D tensor vector -> 1D tensor matrix -> 2D tensor array -> 3D+ tensors intercept -> bias coefficients -> weights link function -> activation function negative log likelihood -> cross entropy loss
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Was thrilled to take the





#rstudioconf workshop “Deep Learning with Keras and TensorFlow in R” from@bradleyboehmke Observation: So much term rebranding in deep learning. I have a section of notes of the form: {ye olde stats term} -> {fancy-pants deep learning term}Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
(to be clear: Mara is
as awesome and friendly in real life as on twitter; the dog mixup is to be expected at a conference where we most often all know each other on twitter first!)Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
apparently there is another "Travis" in the rstats twitterverse with a dog profile photo (if you're at the conference we should totally meet!)
At least she didn't mistake me for Travis CI.Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
Day 1 and already achieved
#rstudioconf2020 highlight: finally got to meet the greatest data science twitterer out there,@dataandme, and she greeted me with "you totally don't look like a dog!"Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
I went to an NIH talk a couple years ago about the challenge of retaining data scientists in academic research. This right here
is a prime example of why they're leaving.https://twitter.com/dnusinow/status/1214939197057851393 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
As someone who applies for NIH grants to fund new R packages (most of which do not get funded), I can say with high confidence I would be laughed out of study section if I proposed (critical) maintenance of any existing package that is widely used by NIH researchers.
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If you are aware of central pieces of open source infrastructure that were kick-started by a grant, please let me know, as I’m quite curious to see their development."
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Callout to
#rstats here: "[none of] numpy, matplotlib, pandas, scipy, scikit-learn, scikit-image … were started by grants. From my conversations with people in the R community, my understanding was that the situation there is similar...Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -


“How many software packages that are central to science were made as a result of grants? I hope (and imagine) the answer is not zero, but I am not familiar with any examples.”https://twitter.com/amuellerml/status/1214600063672049665 …Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
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