In this episode of #CoffeeWithAGoogler, @lmoroney sits down with @ch402 from the Google Brain team to chat about @distillpub, a platform for interactive research and peer review from the machine learning community.
— Google Developers (@googledevs) June 13, 2018
Watch here → https://t.co/e10VmBzeDL pic.twitter.com/SKU1y6tMcO
#rstats users can now use rtweet to manage Twitter lists! Code I used to create this list: https://t.co/BUajioSey5 included below. pic.twitter.com/Limq0WsQHG
— Mike Kearney📊 (@kearneymw) June 13, 2018
Did you know you can go from raw audio to spectrogram with just six lines of Python? Check it out!https://t.co/VGoQXgycHL pic.twitter.com/FvizMv25Zk
— Rachael Tatman (@rctatman) June 13, 2018
ICYMI…
— Mara Averick (@dataandme) June 13, 2018
🔎 https://t.co/CKyAGLSKjq - rstats search engine https://t.co/qL5CunruhB #rstats #SoDS18
/* 🙈 I didn't know before, but… */ pic.twitter.com/69kwNujqkM
My first project for @DataCamp launched today! https://t.co/mPBDCYeCUF
— Dr. Sam Tyner (@sctyner) June 13, 2018
Thanks to @venturidb for all his help with the launch. If you like the #tidyverse or want to learn it, you'll love this project! It's meant to complement @drob's tidyverse course. #rstats #datascience
🌟 Since @alexpghayes is hitting broom this summer...
— Mara Averick (@dataandme) June 13, 2018
Why use broom 📦 for tidying model objects?
📽s “Slides from [@drob's] talk on the broom package” https://t.co/3zgBvupStA #rstats #broom pic.twitter.com/2zvpklLA7m
Some ongoing work with @Calclavia on generating NES music using deep learning 🤖🎮🔊. In this example, we train a neural network on machine code written for the NES audio chip and then use it to generate new examples. ⭐️https://t.co/M0Bs3355xA 📜https://t.co/Rm0IWSSnkJ pic.twitter.com/H1knp15Nh6
— Chris Donahue (@chrisdonahuey) June 13, 2018
Blog post detailing the approach that obtained 5th place in OpenAI Retro Contest. @flyyufelix trained an agent to play previously unseen custom levels of Sonic the Hedgehog using transfer learning. https://t.co/ZlppLXg0TR https://t.co/VcDQDaa8CS
— hardmaru (@hardmaru) June 13, 2018
The Github repository for Grokking Deep Learning now has all code contained within the book - many thanks to @AmberLeighTrask!https://t.co/3KEfLNjvj5
— Trask (@iamtrask) June 13, 2018
Just discovered this excellent and very consumable overview of deep learning, AI and where things may be headed by @GaryMarcus at NYU https://t.co/3Lo4BHxCbi
— Serkan Piantino (@spiantino) June 13, 2018
Video from my talk at @JailbreakBrewCo on using machine learning to help augment bug discovery https://t.co/iXhIfe0IUJ
— Sophia d’Antoine (@Calaquendi44) June 13, 2018
Hooray, #rstats pkg naniar 0.3.1 "Strawberry's Adventure" is out on CRAN!
— Nicholas Tierney (@nj_tierney) June 12, 2018
naniar is a tidyverse friendly approach to missing data that makes it easier to wrangle, clean, explore, visualise + impute missing values.
Read more about whats new in 0.3.1 here: https://t.co/cZI2Pm2iM0
