Machine Learning in JavaScript
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Machine Learning in JavaScript
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Re: Machine Learning in JavaScript
#2This blog also contains a JavaScript physics series which is very cool.
Do hope this author writes more again it has been quite.
Re: Machine Learning in JavaScript
#3If you're looking for more on this, or some general purpose JS NLP you'd do worse than to checkout node-natural[0]
Re: Machine Learning in JavaScript
#4That's great, keep up the good work.
For some reason it's somewhat hard to find C-style science code examples in some disciplines. Python feels a bit like a plague in this respect. Everytime I have to wrap my head around while converting code to C-like language (C, C++, PHP, JS).
Re: Machine Learning in JavaScript
#5That's great, keep up the good work. For some reason it's somewhat hard to find C-style science code examples in some disciplines. Python feels a bit like a plague in this respect. Everytime I have to wrap my head around while converting code to C-like language (C, C++, PHP, JS).
The distance to convert math to python is so much shorter than math to C or math to javascript.
You need something like numpy to make working in javasctipt easier before there will be a proliferation of of ML in JS.
I really love JS for its distribution and some of the visualizations are amazing. But the low level, numerically stable, matrix math primitives are sorely lacking.
Re: Machine Learning in JavaScript
#6For neural networks, you can use BrainJS
Re: Machine Learning in JavaScript
#7Only a question of time before the Machine Learning wave arrived at the arguably least suited--but certainly the most popular--platform!
There's money to be made with this combination. The field is ripe.
Good write up too.
Re: Machine Learning in JavaScript
#8I still view JS as a UI-oriented language, and I really don't know why would you want to implement processor-heavy algorithms in a browser environment, which need a lot of data and don't use the networking.
I would still stick to python. Or java. Or anything else which has a clear syntax and can run at a useful speed (I'm not mentioning C++ because of the coding overhead and dirty tricks which makes it a bit unfriendly for learning an algorithm)
Re: Machine Learning in JavaScript
#9I still view JS as a UI-oriented language, and I really don't know why would you want to implement processor-heavy algorithms in a browser environment, which need a lot of data and don't use the networking. I would still stick to python. Or java. Or anything else which has a clear syntax and can run at a useful speed (I'm not mentioning C++ because of the coding overhead and dirty tricks which makes it a bit unfriend…
"Through this series of articles, I’ll teach you the fundamental machine learning algorithms using Javascript"
Re: Machine Learning in JavaScript
#10Author here -- thanks for submitting, xd!
Let me know if you have any questions. I do intend to keep up with this series, although my pace is pretty slow at about one article every three months or so.
There are already a couple of comments about running ML in JS and how JS and the browser environment isn't terribly suited for heavy calculations. First: you're totally correct; second, I chose JS because it's
1) accessible -- whether you're Python or Ruby or PHP on the backend, you're probably comfortable with JS and
2) it demystifies machine learning -- you have to write your ML from scratch, without the help of all those wonderful Python libs, and I think this exercise shows you that it's not so mysterious after all.
Anyway, thanks for reading, and I'll poke in here throughout the day if you have questions.