🔪 Great content, and hilarious slides!
— Mara Averick (@dataandme) July 16, 2019
"Get up to speed with Bayesian data analysis in R" by @rabaathhttps://t.co/DDTagwkcr3 #rstats pic.twitter.com/vxz7M7Tdft
🔪 Great content, and hilarious slides!
— Mara Averick (@dataandme) July 16, 2019
"Get up to speed with Bayesian data analysis in R" by @rabaathhttps://t.co/DDTagwkcr3 #rstats pic.twitter.com/vxz7M7Tdft
New tutorial!🚀 Learn how to perform Video Classification with #Keras and #DeepLearning 📽️📺
— Adrian Rosebrock (@PyImageSearch) July 15, 2019
Full tutorial, including #Python code w/ pre-trained model, can be found here: https://t.co/idY0mqotxq 👍#MachineLearning #ComputerVision #ArtificialIntelligence #AI #DataScience pic.twitter.com/yfSoHZRn2v
Code from my lightning talk: ensemble topic modelling in Python with pLSA for fast stable topic modelling with the enstop package: https://t.co/fXTHqwbWIu #SciPy2019
— Leland McInnes (@leland_mcinnes) July 12, 2019
vroom #rstats 📦, because life is too short to read slow! 🏎️💨
— Jim Hester (@jimhester_) July 12, 2019
slides 📽️ from my #useR2019 talk available at https://t.co/3h6b2m7lQO
Slides & some other materials from yesterday's #UserR2019 #rstats tutorials now on GitHub: https://t.co/3AxBZDsFjU pic.twitter.com/3ti9YW8AKQ
— Sharon Machlis (@sharon000) July 11, 2019
Neat to see the cross-pollination 🐝 of ideas (in this case, data-masking) across different parts of the R ecosystem -- dplyr, base R, and data.table 🌺🌻🌼@_lionelhenry #useR2019https://t.co/qDnKqyvaBU pic.twitter.com/30KLxVgDdY
— Irene Steves (@i_steves) July 11, 2019
I am soon presenting "Building and Benchmarking Automatic Machine Learning Systems" at #useR2019 in the Cassiopée room. 👩🏫 #AutoML @open_ml
— Erin LeDell (@ledell) July 11, 2019
📒 Slides: https://t.co/4KOmdcLjA5
📰 "An Open Source AutoML Benchmark" paper: https://t.co/QAzXgLlwhG
👩💻 Github: https://t.co/XfoPSIKNvU pic.twitter.com/Na2P5VIgC4
Take a live look at how I'm building my tutorial "A Real-Life Massive Machine Learning Pipeline with scikit-learn". Hope to release it soon. Big thanks to @mybinderteam #machinelearning #MasterDataAnalysisWithPython https://t.co/GSERYJyUGf
— Ted Petrou (@TedPetrou) July 10, 2019
Learn how to accelerate data modeling in #finance with @rapidsai by feeding data to #XGboost models for @nvidia #GPU training: https://t.co/lQdRpqNLC0 pic.twitter.com/WGCOdfoxdz
— NVIDIA AI (@NvidiaAI) July 3, 2019
NEW POST: Reorder categories when facetting with ggplot2 #rstatshttps://t.co/Qne1sgtRhK pic.twitter.com/gAkijh2C98
— Julia Silge (@juliasilge) July 1, 2019
Looking for a basic #rstats introduction to the bootstrap? We’ve got you covered:
— Guillaume Rousselet (@robustgar) July 1, 2019
The percentile bootstrap: a teaser with step-by-step instructions in Rhttps://t.co/DBUgNBOyba
Includes group comparisons and inferences on correlation coefficients…@CyrilRPernet pic.twitter.com/ORwFxVnTbR
Super excited to be on my way to the International Summer School on Deep Learning in Gdansk, Poland @dl_iss ! To pass the time between layovers, I just finished up my slides & code (DL for Ordinal Regression) & upl. to GitHub...in case you are interested: https://t.co/ZWtnCmLwXV pic.twitter.com/1rlU18IttG
— Sebastian Raschka (@rasbt) June 29, 2019