Take a ☕️ break! Join @rctatman in casual conversation with @amcasari (aka commandasaurus) and learn how the #datascience field emerged, and some of the challenges of doing data science at scale. [WATCH] https://t.co/pAvlW9Hvnl #womenintech #womeninstem #womenindatascience
— Kaggle (@kaggle) June 3, 2019
Wouldn't it be cool to have @chrmanning explain ELMO, ULMfit, Transformers, and BERT in about an hour long video? #NLP https://t.co/dzqS5RgYMq
— Xavier 🎗️ (@xamat) May 31, 2019
In this #tidytuesday screencast, I analyze plastic waste across countries 🗺️🗑️
— David Robinson (@drob) May 28, 2019
I make some maps and bringing in country statistics with WDI. I compare plastic waste to CO2 emissions: they have very different relationships with a country's wealth https://t.co/Ut74ODeioa #rstats pic.twitter.com/PQ0FcfaW3C
Geometric Deep Learning making strides.
— Yann LeCun (@ylecun) May 28, 2019
Videos available. https://t.co/LZxlNM6fp2
Messy Data? Try this video on "Cleaning and Tidying Data" using Pandas from our PyData DC Meetuphttps://t.co/MhSDsRAwPN
— PyData (@PyData) May 26, 2019
In this week's #tidytuesday screencast, I analyze a dataset on Nobel Prize winners ⚛️☮️⚕️🏅
— David Robinson (@drob) May 24, 2019
Something I learned is that scientists used to win within 10 years of publishing the prize-winning work, and now typically wait 25 years 😯https://t.co/5hs3J5Dw3m #rstats pic.twitter.com/5XjV8PP4Fj
A short video explaining our ICLR'19 paper. https://t.co/XdUw19dOTH
— Yann LeCun (@ylecun) May 23, 2019
Great talk by @AlecRad in @pabbeel's deep unsupervised learning class - "Language Models and their Uses": https://t.co/388W4HXc4o
— Miles Brundage (@Miles_Brundage) May 17, 2019
Recording of my talk, Building Data Science, is live! This talk covered the first six months of #buildingDS at a startup, including:
— Caitlin Hudon👩🏼💻 (@beeonaposy) May 15, 2019
💻 Perspective on being the first data person in org
🌱 Greenfield DS challenges
🛠️ Building DS infrastructure
🗺️ Making data + tooling decisions https://t.co/CUEfeBdI1b
For those interested Hamming's "Learning to Learn" lecture series is online and ends with the seminal "You and Your Research" (can be watched independently). End to end 20 hours of gold. Recorded in 1995 but that only provides better perspective for today!https://t.co/cIwAIy2kkr
— Smerity (@Smerity) May 9, 2019
"Bayesian Data Science by Simulation" #PyCon2019
— ML Review (@ml_review) May 9, 2019
3 hour video introduction to Bayesian data science through the lens of simulation By @ericmjl @hugobownehttps://t.co/RsmwPWK5b0
🎊 Slides, vids and all the goodness from #satRdayJoburg
— Mara Averick (@dataandme) May 6, 2019
🇿🇦 "satRday in Johannesburg" by @satRday_ZAFhttps://t.co/A5wjIi8BYJ #rstats
📺https://t.co/nTu34zGt3j pic.twitter.com/CUmcyVTTke
