This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.
Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject
Mapper algorithm.
This script provides an example of learning a decision tree with scikit-learn. Pandas is used to read data and custom functions are employed to investigate the decision tree after it is learned. Grab the code and try it out.
A blog post about this code is available here, check it out!
| class Animal | |
| def run | |
| puts 'running' | |
| end | |
| end | |
| Animal.new.run #=> running | |
| class Wolf < Animal | |
| def follow_pack |
| # Call scopes directly from your URL params: | |
| # | |
| # @products = Product.filter(params.slice(:status, :location, :starts_with)) | |
| module Filterable | |
| extend ActiveSupport::Concern | |
| module ClassMethods | |
| # Call the class methods with names based on the keys in <tt>filtering_params</tt> | |
| # with their associated values. For example, "{ status: 'delayed' }" would call |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>PageView Grid</title> | |
| <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script> | |
| <script src="http://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.5.2/underscore-min.js"></script> | |
| <script> | |
| var Keen=Keen||{configure:function(e){this._cf=e},addEvent:function(e,t,n,i){this._eq=this._eq||[],this._eq.push([e,t,n,i])},setGlobalProperties:function(e){this._gp=e},onChartsReady:function(e){this._ocrq=this._ocrq||[],this._ocrq.push(e)}};(function(){var e=document.createElement("script");e.type="text/javascript",e.async=!0,e.src=("https:"==document.location.protocol?"https://":"http://")+"dc8na2hxrj29i.cloudfront.net/code/keen-2.1.0-min.js";var t=document.getElementsByTagName("script")[0];t.parentNode.insertBefore(e,t)})(); | |
| Keen.configure({ | |
| projectId: "<your-projectId>", |
| # This is a skeleton for testing models including examples of validations, callbacks, | |
| # scopes, instance & class methods, associations, and more. | |
| # Pick and choose what you want, as all models don't NEED to be tested at this depth. | |
| # | |
| # I'm always eager to hear new tips & suggestions as I'm still new to testing, | |
| # so if you have any, please share! | |
| # | |
| # @kyletcarlson | |
| # | |
| # This skeleton also assumes you're using the following gems: |
| class Point | |
| constructor: (@x = 0, @y = 0) -> | |
| if isNaN(@x) or isNaN(@y) | |
| throw new Error('Invalid coords') | |
| add: (point) -> | |
| @x += point.x | |
| @y += point.y | |
| subtract: (point) -> |
| #------------------------------------------------------------ | |
| # REVOLUTION ANALYTICS WEBINAR: INTRODUCTION TO R FOR DATA MINING | |
| # February 14, 2013 | |
| # Joseph B. Rickert | |
| # Technical Marketing Manager | |
| # | |
| # BIG DATA with RevoScaleR | |
| # | |
| # Copyright: Revolution Analytics |
| class BaseChart | |
| constructor: -> | |
| @_width = 720 | |
| @_height = 80 | |
| draw: (selection) => | |
| me = @ | |
| selection.each( (d, i) -> me._draw(this, d, i) ) |