A Tour of Reinforcement Learning: The View from Continuous Control. A nice review paper, and a summary of @BeenWrekt's views of the RL field from his series of recent blog posts. https://t.co/ViCPPruced
— hardmaru (@hardmaru) July 10, 2018
A Tour of Reinforcement Learning: The View from Continuous Control. A nice review paper, and a summary of @BeenWrekt's views of the RL field from his series of recent blog posts. https://t.co/ViCPPruced
— hardmaru (@hardmaru) July 10, 2018
New #nlproc blog post: "Design Patterns for Production NLP Systems" https://t.co/m4a4MYgtfT pic.twitter.com/GUdydhnHVy
— Delip Rao (@deliprao) July 9, 2018
Using the jupyter-matplotlib project, you can enable interactivity of @matplotlib figures in the @ProjectJupyter notebook and #jupyterlab. To get started: `pip install ipympl`.https://t.co/42cnMNYwUU pic.twitter.com/cdPkxuohf7
— Sylvain Corlay (@SylvainCorlay) July 9, 2018
Data science glossary on @kaggle - a great curated list of kernels providing forkable and reproducible tutorials on machine learning algorithms https://t.co/Anbd8lFMg1
— Ben Hamner (@benhamner) July 9, 2018
Nice discussion on Cross Validated of equivalence and non-equivalence of confidence intervals and Bayesian credible intervals when the prior is restricted: https://t.co/I4udu0mZMN
— Frank Harrell (@f2harrell) July 9, 2018
🎞 by the author, too!
— Mara Averick (@dataandme) July 8, 2018
"Take a Sad Plot & Make It Better" by @apreshill https://t.co/dGKk4hPIOl #rstats #dataviz #ggplot2 pic.twitter.com/olvsYrUhLe
Qualitative Data Science: Using RQDA to analyse interviews https://t.co/2hMIcscAMD #rstats #DataScience
— R-bloggers (@Rbloggers) July 7, 2018
ICYMI, 👩🏫 great material – code, slides, & 🎬!
— Mara Averick (@dataandme) July 7, 2018
💻 "Code for Workshop: Intro to Machine Learning w/ R" by @ShirinGlander https://t.co/An6MvGx4TH #rstats #MachineLearning pic.twitter.com/tpigxcH4vT
The official repository for the Deep Reinforcement Learning Nanodegree program at @udacity is now public! Check it out to see many implementations in @PyTorch, including DQN, DDPG, and much more! https://t.co/umOUxLdwTj pic.twitter.com/Be5UAILQ6l
— Alexis Cook (@alexis_b_cook) July 6, 2018
👍 how-to walkthrough:
— Mara Averick (@dataandme) July 6, 2018
"Visualising Residuals in R" by @drsimonjhttps://t.co/ZCAD5fTS6c #rstats #dataviz pic.twitter.com/pqMhlf1MMn
This week's #KernelAwards winner uses the Meta Kaggle dataset to create a list of the most popular kernels on Kaggle according to topic: https://t.co/lKIAem6uki pic.twitter.com/Rm9ircRtYm
— Kaggle (@kaggle) July 6, 2018
Revisiting John Snow's 😷🗺:
— Mara Averick (@dataandme) July 6, 2018
📦 "cholera" https://t.co/JKyi1SyyQU #rstats #dataviz #infovis #maps pic.twitter.com/VATwsRG0dZ