Linear Classifiers

Thinking in Points

Consider this little plot generated by python.


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Supervised Learning - Classification

Supervised Learning

In supervised learning, the algorithm is given labeled examples in order to come up with an appropriate model that defines the data and can also correctly label future examples correctly (or adequately). Supervised learning can be grouped into the following depending on the actual label type:

  1. Binary Classification (think yes/no)
  2. Multi-class classification (any answer from a finite set)
  3. Rgression (any answer from an infinite set)

In the machine library I am trying to put together, each of the three groups mentioned above can be separated into distinct .NET data types as follows:

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What is Machine Learning?


I had the priviledge of presenting at CodeStock. It was absolutely great. I was surprised and humbled at the reception of my session regarding Machine Learning. As such, I wanted to do a series of posts regarding what it is I wish to accomplish.

Machine Learning is Hard

Because the stuff is so intriguing, I have spent the last number of years trying to figure the stuff out! I would certainly not classify myself as an expert (by any means), but I think I have a general idea of the field.

Machine learning can be seperated into roughly 3 classifications:

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Creating Advanced ASP.NET MVC Controls (Part 2, Finished Debugger)


As mentioned in the previous post, in order to create good client side controls that interact well with the ASP.NET MVC system, we need to have a way to visualize data that the control either generates, or passes to the controllers. I found this difficult to acheive in IE as well as Firefox. I did not need/want all of the complexities of Firebug or IE’s Developer tools (which are great btw). I just wanted to see my data! The problem with the previous version of the debugger was that it was too dang simple! If I were to use it like this:

	.write('(Complex Array)')
	.set({ one: { a: 'Hospital', b: 4, c: {x:3,y:5}}, two: 'test'})
	.write('(Complex Object)')
	.set(function(arg) { alert('HI!' + arg); })
	.set({ one: new Array('Happy', 'debugger', 'array'), two: 'test'})
	.write('(Complex Object)')
		new Array(
			new Array(
				{a: 1, b: 2, c: 3},
				{a: 4, b: 5, c: 6},
				{a: 7, b: 8, c: 9}), 
			new Array(
				{a: 'one', b: 'two', c: 'three'}, 
				{a: 'four', b: 'five', c: 'six'}, 
				{a: 'seven', b: 'eight', c: 'nine'})))
	.write('(Complex Array)');


the debugger would simply not be good enough!

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Creating Advanced ASP.NET MVC Controls (Part 3, A Scheduler)


This is part 3 of a series going through the process of creating an advanced control for the ASP.NET MVC system. I’ve decided to create a schedule control that allows a user to schedule and item on a calendar control as well as add some meta-data information to the scheduled date. Together with the debugger we have built, this should not be too difficult

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