Putting R in Production, by Heather Nolis & Mark Sellors

It is often said that R is hard to put into production. Fortunately, there are numerous talks demonstrating the contrary. Here’s one by Heather Nolis, who productionizes R models at T-Mobile. Her teams even shares open-source version of some of their productionized Tensorflow models on github. Read more about that model here. There’s another great…

Tensorflow for R Gallery

Tensorflow is a open-source machine learning (ML) framework. It’s primarily used to build neural networks, and thus very often used to conduct so-called deep learning through multi-layered neural nets.  Although there are other ML frameworks — such as Caffe or Torch — Tensorflow is particularly famous because it was developed by researchers of Google’s Brain…

Python resources (free courses, books, & cheat sheets)

Find more comprehensive Python repositories:Vinta’s awesome Python Github repository, the easy Python docs, the Python Wiki Beginners Guide, or CourseDuck’s overview of free Python courses! My list of Python resources is still quite short so if you have additions, please comment below or contact me! There are separate overviews for Data Science, Machine Learning, & Statistics resources in…

Predict the Sentimental Response to your Facebook Posts

Max Woolf writes machine learning blogs on his personal blog, minimaxir, and posts open-source code repositories on his GitHub. He is a former Apple Software QA Engineer and graduated from Carnegie Mellon University. I have published his work before, for instance, this short ggplot2 tutorial by MiniMaxir, but his new project really amazed me. Max developed a Facebook web scaper in…

Keras: Deep Learning in R or Python within 30 seconds

Keras is a high-level neural networks API that was developed to enabling fast experimentation with Deep Learning in both Python and R. According to its author Taylor Arnold: Being able to go from idea to result with the least possible delay is key to doing good research. The ideas behind deep learning are simple, so…