ಮಾಧ್ಯಮ
- ಟ್ವೀಟ್ಗಳು
- ಟ್ವೀಟ್ಗಳು & ಪ್ರತಿಕ್ರಿಯೆಗಳು
- ಮಾಧ್ಯಮ, ಪ್ರಸ್ತುತ ಪುಟ.
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Nothing beside remains. Round the decay Of that colossal Wreck, boundless and bare The lone and level sands stretch far away.pic.twitter.com/ux5RmARQUf
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The barista heard my name as Gabe and I didn’t correct her. I’m going back for seconds and heaven help me I’m going to have to say Gabe againpic.twitter.com/lAXMCIInEF – Joe Coffee Company ರಲ್ಲಿ
ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ -
In this 20 minute bonus screencast, I answer a probability puzzle from last Friday's
@FiveThirtyEight "Riddler" column using Monte Carlo simulation in#rstats
It's hard to solve puzzles under pressure 
https://www.youtube.com/watch?v=TDzd73z8thU … @olliepic.twitter.com/8Xn9L0nUz2
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Oh, great! Works like a charm! (Looking back I also should have done col_types = list(ZIPCODE = col_character()) )pic.twitter.com/jxPUOYNep9
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In this week's
#tidytuesday screencast, I analyze data on NYC restaurant inspections, using broom to calculate many confidence intervals and taking a tidy approach to PCA https://youtu.be/em4FXPf4H-Y
#rstatspic.twitter.com/DrrxgV3pkt
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This is a pretty unfair summary of
@RepZoeLofgren's questions We probably shouldn't be consuming so much news through the filter of snarky writers optimizing for retweetspic.twitter.com/ifg8pLDsr8
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New blog post: The 'knight on an infinite chessboard' puzzle: efficient simulation in R http://varianceexplained.org/r/knight-chess/
#rstats
pic.twitter.com/1sgP3vw9HS
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In 1992 the Vice President misspelled potato and you can read about it in history books History books of the future are gonna be wildpic.twitter.com/cmhTCKYdA3
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Oooh, it would be a useful tidytext feature to have optional parallelization. It would require splitting `col` here and parallelizing the call to tokenfunc
pic.twitter.com/R4Dy90o6Ik
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In this bonus
#rstats screencast, I solve two probability puzzles from@FiveThirtyEight's "The Riddler" column, to demonstrate examples of Monte Carlo simulation https://www.youtube.com/watch?v=pBGMt28xgvk …pic.twitter.com/vlRnDJiLgM
ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ -
In this week's
#tidytuesday screencast, I use tidytext to analyze what titles get claps on Medium posts. Practical guides on tensorflow/keras are the hottest, words like "marketing", "trends" and "industry" don't get you far https://www.youtube.com/watch?v=C69QyycHsgE …#rstatspic.twitter.com/cxYO2MIIqz
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This is great! Have you considered the advantage of having the files automatically generate views in the DB so that people don't even have to access the .sql to use the resulting table? That's the approach we've taken at DataCamppic.twitter.com/pZQ3wuMezT
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For this week's
#tidytuesday screencast, I analyze data on the quality of Maryland's bridges. Includes examples of fitting nonlinear models with cubic splines, and then exploring the model's predictions with augment()
https://www.youtube.com/watch?v=kzM-4jMh9Qs … #rstatspic.twitter.com/5DbgbvJqt6
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See also unnest_tokens() from tidytext, which is really designed for natural language (so I wouldn't immediately recommend it) but with token = "regex" serves a similar purposepic.twitter.com/Rw92eTs2yZ
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The convert = TRUE argument to separate_rows makes tidying even more convenient, because it automatically turns the score into an int
pic.twitter.com/EkrNQdjLwY
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separate_rows() is a great tip! You could also have used unnest and str_split() to replace the first approachpic.twitter.com/xO4JHklvT5
ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.
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