Try without installing:
Source: Jen Underwood tweet
How to make an intelligence:
Link: Twitter flow, Machine Lerning
Recurrent Neural Networks (RNN) - one of many neural network patterns.
"The idea behind RNNs is to make use of sequential information. In a traditional neural network we assume that all inputs (and outputs) are independent of each other. But for many tasks that’s a very bad idea. If you want to predict the next word in a sentence you better know which words came before it. RNNs are called because they perform the same task for every element of a sequence, with the output being depended on the previous computations. Another way to think about RNNs is that they have a “memory” which captures information about what has been calculated so far. In theory RNNs can make use of information in arbitrarily long sequences, but in practice they are limited to looking back only a few steps (more on this later).
Here is what a typical RNN looks like:
Semantic analysis: http://news.mit.edu/2015/more-flexible-machine-learning-1001
Cheat sheets: * http://designimag.com/2015/06/best-machine-learning-cheat-sheets/
* Power BI Custom Visualisation Competition - Developer tools, Start page
* the Dark net (TED-talk)
* Human made mini Brain
* Extra dimensions in vacuum, measured