## homomorphic encryption in R

Homomorphic encryption is allows computations to be performed on encrypted data. This has enormous potential in areas of machine learning that deal with priv...

Homomorphic encryption is allows computations to be performed on encrypted data. This has enormous potential in areas of machine learning that deal with priv...

The rnn R package, describing how to implement from scratch the Recurrent Neural Network algorithm) in the R language is now available on CRAN.

The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.

This is an example of how to build a Recurrent Neural Network in R. What we will do is generate two sets of random numbers, a and b, which we will sum up, ...

Some simulated data, borrowed from this post.

A simple example

The learNN package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples....

In this short post I want to quickly demonstrate how the most basic neural network (no hidden layer) gives us the same results as the linear model.

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

Earlier this year I was in China, and in order to communicate with local delegates I installed WeChat. WeChat has a very handy feature that replaces exchangi...