Advanced Machine Learning with R

Deep learning resources and advanced methods

One of the more interesting visual tools you can use for both learning and explaining is the interactive widget provided by TensorFlow: http://playground.tensorflow.org/. This tool allows you to explore, or tinker, as the site calls it, the various parameters and how they impact on the response, be it a classification problem or a regression problem. I could spend – well, I have spent – hours tinkering with it.

Here is an interesting task: create your own experimental design and see how the various parameters affect your prediction.

At this point, the fastest-growing deep learning open source tool is TensorFlow. You can access TensorFlow with R, but it requires you to install Python first. What ...