Tag: tutorial

ICYMI, 📣 Updated edition…
📄 "Data transformation w/ data.table cheat sheet" by Erik Petrovskihttps://t.co/1Iw0HT0WJO #rstats #rdatatable pic.twitter.com/RxokRnL1MK

— Mara Averick (@dataandme) January 26, 2019

1/ Excited to share something I've been working on for a while now. Troubleshooting Deep Neural Networks: a decision tree for debugging your model and improving performance. https://t.co/EeGxZ2SKz4

— Josh Tobin (@josh_tobin_) January 25, 2019

"How to visualize convolutional features in 40 lines of code" by Fabio M. Graetz

Amazingly cool (and simple!) approach to visualizing convolutional features using fastai and @PyTorch (it uses the older fastai 0.7 and pytorch 0.4).https://t.co/QfAtBtzuIP pic.twitter.com/AeGge1AUkj

— Jeremy Howard (@jeremyphoward) January 24, 2019

🤬 My fave slide progression from @thomasp85's:
👨‍🍳 "gganimate cookbook" https://t.co/9AWAm3mmZ6 #rstats #dataviz #gganimate
/* 🖍 mine */ pic.twitter.com/1JmgF3Fh2j

— Mara Averick (@dataandme) January 23, 2019

📽 Check out @earowang's slides from her stellar talk at #rstudioconf:
⏰ "Melt the clock: tidy time series analysis"https://t.co/5xkkMpAsxn #rstats #timeseries pic.twitter.com/obRUArdmAC

— Mara Averick (@dataandme) January 18, 2019

Thanks to everyone who watched my talk, “Building an A/B Testing Analytics system with R and Shiny!” Slides available here: https://t.co/Rd3AtrEUya. Recording will also be available at some point.

— Emily Robinson (@robinson_es) January 17, 2019

Slides for my #rstudioconf talk “Box plots: a case study in debugging and perseverance” are here: https://t.co/IysLF1uGWF

— Kara Woo (@kara_woo) January 17, 2019

In this guest article, @Sam_Witteveen covers how to run Keras on TPUs for free in Colab!

Read how here ↓ https://t.co/SaLwDRlGn0

— TensorFlow (@TensorFlow) January 11, 2019

Finally, it’s time to build and refine your model! In the last episode of this #CodingTensorFlow mini-series, Karmel Allison teaches us how to establish the layer architecture, compile, optimize, and train the model.

Learn how here → https://t.co/gkllOkgfmx pic.twitter.com/gRu7NesZ0u

— TensorFlow (@TensorFlow) January 7, 2019

New tutorial!🚀 Auto-Keras and AutoML: A Getting Started Guide
- Automatically create + train #DeepLearning models
- Zero hyperparameters to tune
- State-of-the-art results
Check out the full tutorial (w/ code) here: https://t.co/hvAVWUeiAr 👍 #Python #MachineLearning #Keras pic.twitter.com/BGDMvlDq2j

— Adrian Rosebrock (@PyImageSearch) January 7, 2019

😊 very handy code-through by @grrrck…
"Import a Directory of CSV Files at Once Using {purrr} and {readr}"https://t.co/18RShjyuC9 #rstats #purrr pic.twitter.com/iqlmjLlftv

— Mara Averick (@dataandme) January 5, 2019

Here is an end-to-end canonical sample for training a model on Cloud TPUs in Keras. It has full code for loading the data from scratch using https://t.co/wE2Mjy7ETU.Dataset and also exporting the trained model to ML Engine for inference. Colab notebook: https://t.co/RIpkluc09d pic.twitter.com/2sx5fY7okL

— Martin Görner (@martin_gorner) January 4, 2019