Monday, October 26, 2015

Machine learning stack

These are the languages and technologies that will make it easy for you to deploy products based on machine learning to production. Here are the six technologies you will need to build a machine learning product from scratch; AngularJS, HTML5, NodeJS, MySQL, Cassandra and R.

AngularJS

AngularJS is a great tool to have in your data scientist kit. It allows you to extend HTML to work in entirely new ways. It also allows you to tie your rich data structures directly to your HTML templates, using 2-way bindings.

HTML5

Knowing how to work with the HTML5 canvas makes data visualisation on the web easier.

NodeJS

Using javascript on both the front- and backend unifies the stack so that you can work with the same language and data structure, simplifying development. Node makes it possible to create real-time websites with push capability. This is great for serving live data to the web page.

MySQL

While there are many database options available, MySQL is tried and tested and is very efficient for most data sets.

Cassandra

At some point, MySQL stops scaling and you need something else. That is Cassandra.

R

R is probably the best tool for model testing with access to all the latest machine learning techniques. 

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