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License: MIT License
Hi
I tried running this on my local machine, but I got an error:
Error: ENOENT, no such file or directory 'people.json'
So I went into localsStore.js
and changed ./people.json
to inspiring_people.json
Now it runs.
I find myself reloading the page to reset the values in the interactive sections of the explanation. A simple 'reset' button would be a boon.
Thanks for the great site.
After following the steps in the readme. I am getting the following error on localhost:3000/ev
Cannot GET /ev/
Hey guys! I just wanted to say that Eliezer Yudkowsky has a fantastic article with intuitive explanation of Bayes' theorem:
http://www.yudkowsky.net/rational/bayes
It would fit perfectly as a part of this project, and would be a great starting point for explaining Bayes' theorem visually.
I would be happy to participate in explaining this, and also logistic regression, if you need any help =)
I think it would be a cool idea to implement a policy that takes topic suggestions in the form of github issues and allows users to vote on suggestions via http://feathub.com/ or something similar.
EDIT: looks like feathub doesn't link to issues
Also moving topic ideas/suggestions from README to issues.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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