Math, Machine Learning, and JavaScript

Talk for FullStack London (2017).

Abstract

JavaScript and number crunching may seem an odd pair, but this is rapidly changing. In this talk, Athan will discuss the current state-of-the-art for numeric computation and machine learning in JavaScript. He will introduce libraries for statistical computing, neural networks, and multidimensional data structures and highlight emerging technologies such as WebAssembly and Node.js native add-ons. Next, he will discuss what to look for in numeric computing libraries, common implementation mistakes, and how to avoid portability issues. By the end of this talk, you will understand why JavaScript is poised to become the next big thing for data science and numeric computing. To conclude, he will outline future steps and identify opportunities for community development of next-generation tools.

Installation

$ git clone https://github.com/kgryte/talks-fullstack-london-2017-1

and

$ npm install

Usage

From the top-level directory,

$ python -m SimpleHTTPServer 9000

and, in your browser, navigate to

http://127.0.0.1:9000

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Copyright

Copyright © 2017. Athan Reines.