Interesting multitask text embeddings by @PinterestEng https://t.co/gABOGQVk0r
— Xavier 🎗️ (@xamat) September 6, 2019
Interesting multitask text embeddings by @PinterestEng https://t.co/gABOGQVk0r
— Xavier 🎗️ (@xamat) September 6, 2019
https://t.co/ApUfadRVDl - End-to-end machine learning project showing key aspects of developing and deploying ML driven application https://t.co/r5Qtrg78No
— Python Trending (@pythontrending) September 5, 2019
📑 Neat approach I don't think I'd ever have come up with on my own...
— Mara Averick (@dataandme) September 4, 2019
"Turn your Reports into Functions!" ✍️ @daranzolin https://t.co/Yq5B6K2L7E #rstats #rmarkdown #purrr
Too complex code that is difficult to read and maintain? Strive for simplicity with #wily. @realpython has a great introhttps://t.co/0SZlEmZl3z
— Daily Python Tip (@python_tip) September 4, 2019
or watch @anthonypjshaw's presentation on #PyCon2019https://t.co/Zlktb9GL5C
1/3 This is an excellent paper, that every regression analyst should read. Primarily, to appreciate how problems that have lingered in decades of confusion can be untangled today using CI tools. What I learned from it was that the "suppressor surprise" is surprising even when https://t.co/Y2IvERm6nK
— Judea Pearl (@yudapearl) August 31, 2019
Came across this really well written intro to HTML & CSS (covers more advanced concepts like flexbox and responsive design as well).
— Radek Osmulski (@radekosmulski) August 31, 2019
If you are starting to learn web dev or would like to brush up on some of the concepts, this seems like a great resource https://t.co/p0lfBvzaqE
About a week ago Netflix had this cool blog post about how they schedule and automate the build of Jupyter Notebooks. I finally played around with the tool for passing parameters into Notebooks and rerunning, it's called Papermill.
— JD Long (@CMastication) August 31, 2019
Blog Post: https://t.co/nLKvjkYEss
What better way to spend a few minutes of your holiday weekend than learning a new #rstats skill! 😀 Interactive maps, time-saving RStudio code snippets, and more! Check out the searchable list of Do More With R 🎥 screencasts:https://t.co/Qq051K0gTV pic.twitter.com/LSbIQY63PN
— Sharon Machlis (@sharon000) August 30, 2019
In this week's #tidytuesday screencast, I analyze a dataset of Simpsons guest stars.
— David Robinson (@drob) August 30, 2019
I also bring in dialogue data to examine "lines per episode", and discovered that TF-IDF serves as a great Simpsons catchphrase detector😆https://t.co/Zw763ENYOq #rstats pic.twitter.com/2OIOcOZxeI
If you wanna know more about our new generalization results for deep CNNs and haven't read the paper, the video of my talk at @SimonsInstitute Frontiers of DL workshop is live nowhttps://t.co/pQGH5eNK1n
— Hanie Sedghi (@HanieSedghi) August 30, 2019
work with @philipmlong https://t.co/BFh37KCg8R
Want to get started learning statistics? Here are recommendations from some of the finest statisticians I know.https://t.co/fOa9TMWacJ pic.twitter.com/6ZQHzXTnOR
— Brandon Rohrer (@_brohrer_) August 29, 2019
Deep learning from the topological, metric, information, causal, physics, computational, and neuroscience perspective. A nice assay by Raul Vicente: "The many faces of deep learning:" https://t.co/vl9iU0yT0V
— Sebastian Raschka (@rasbt) August 29, 2019