If you liked @AranLunzer and my histogram essay (https://t.co/i3umKYHGHL) you are going to LOVE this explanation of Kernel Density Estimation by @mathisonian: https://t.co/pBhdTDsS6e
— Amelia McNamara (@AmeliaMN) December 14, 2018
If you liked @AranLunzer and my histogram essay (https://t.co/i3umKYHGHL) you are going to LOVE this explanation of Kernel Density Estimation by @mathisonian: https://t.co/pBhdTDsS6e
— Amelia McNamara (@AmeliaMN) December 14, 2018
1/5 Interested in learning how to collect and analyze social media data using topic models, text networks, or word2vec? I'm pleased to announce I am releasing an open source version of my "Text as Data" class from Duke's Data Science program: https://t.co/k2ScUDWVoJ pic.twitter.com/qgM8xEjsIn
— Chris Bail (@chris_bail) December 14, 2018
I kinda thought I got determinants but realized how false that was when I wrote this explanatory piece on orthogonal matrices. Nothing more fun than having multiple "kinda but don't get it" areas suddenly click. Your explanation made even more clicks :Phttps://t.co/dmv03gYTSI
— Smerity (@Smerity) December 14, 2018
10 Lessons Learned From Participating in our Quick, Draw! Google Doodle Recognition Challenge, by Eric Bouteillon https://t.co/SaQhVotG4k pic.twitter.com/DLl3Bsvclc
— Kaggle (@kaggle) December 14, 2018
Check out @danqi_chen's just published PhD thesis for an up-to-date overview of the world (and future) of neural reading comprehension 👏🏻https://t.co/dKLaWc7gBt pic.twitter.com/FwMiP1ls8G
— Sebastian Ruder (@seb_ruder) December 14, 2018
📽 excellent slide deck by @wolfgangaigner (incl. useful 🎨 rules)
— Mara Averick (@dataandme) December 14, 2018
👁🗨 "perception and visualization"https://t.co/E9Zwpy1OUO #dataviz #infovis #visualization pic.twitter.com/SYdlzyX7W1
Excited to read this new textbook and work through the Julia exercises. https://t.co/sAYLphqQy1
— John Myles White (@johnmyleswhite) December 13, 2018
In this 20 minute bonus screencast, I answer a probability puzzle from last Friday's @FiveThirtyEight "Riddler" column using Monte Carlo simulation in #rstats 🎲
— David Robinson (@drob) December 12, 2018
It's hard to solve puzzles under pressure 😅https://t.co/LPhPNPDpwX @ollie pic.twitter.com/8Xn9L0nUz2
Bias-Variance Tradeoff https://t.co/eZ2bbpDzwV pic.twitter.com/2QPYrlsJEG
— Chris Albon (@chrisalbon) December 12, 2018
How to Grow Neat Software Architecture out of Jupyter Notebooks https://t.co/XHvYwuT0X4
— Ben Hamner (@benhamner) December 12, 2018
The Neural Aesthetic is finished! Notes and around 30 hours of video lectures are up here: https://t.co/FZp27eerIW
— Gene Kogan (@genekogan) December 12, 2018
A big map of all the slides can be browsed here: https://t.co/MeKrtcFHps pic.twitter.com/AS2mnJWVkK
This is a *great* walkthru of implementing a new research paper from scratch with fastai and @PyTorch . And the results are impressive - fast and accurate NLP models! :) https://t.co/q0kHF404Tb
— Jeremy Howard (@jeremyphoward) December 11, 2018