JavascriptML

#Javascript with Machine learning

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Artificial Intelligence JS

Machine Learning and AI experiments using Node.js as server, client-side JavaScript operations and and MongoDB as data source.

../data/ folder contains the example database, called 'dataset', with a training set in every collection.

All the important stuff is client side and is in the ../public/javascripts/ folder, Node.js is only used as a server and to retreive data from MongoDB.

Implemented algorithms

• a simple C4.5
• a simple K-Means
• Cross Validation
• Simulated Annealing
• Genetic Algorithm

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##Installation To use the main functions we really just need a browser and the stuff in the ../public/javascripts/ folder. Just give it a data set in JSON format (se demo.js or tests.html for some examples).

For server and database functions we must first install Node.js and MongoDB. Then simply open a terminal and run this command:

cd /your/path/to/Machine-Learning-JS/
npm install

It has to be done only the first time in order to install the required modules.

Then run one of those commands in a terminal (depending on your OS):

#(Unix)
/your/path/to/mongod --dbpath /your/path/to/Machine-Learning-JS/data

::(Windows)

"Drive:\your\path\to\mongod.exe" --dbpath "Drive:\your\path\to\Machine-Learning-JS\data"

And this one in another terminal to start the server (of course current directory has to be the project folder again):

cd /your/path/to/Machine-Learning-JS/
npm start

Finally go to localhost:3000 in your browser and wait for the data to be loaded (it may take a while depending on your hardware).

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Some important libraries:

http://caza.la/synaptic/#/

https://brain.js.org/#/

https://www.tensorflow.org/js

http://stevenmiller888.github.io/mindjs.net/

https://cs.stanford.edu/people/karpathy/convnetjs/

https://ml5js.org/

https://transcranial.github.io/keras-js/#/