I’m taking a sabbatical week over the holidays. This week’s posts will serve as a sort of report of what I got up to the previous day instead of the usual schedule – wish me luck that I achieve even half of what I’d like to. As I sit here slowly sipping on my tea [...]
Sabbatical week day 2: I fail at Octave
I’m taking a sabbatical week over the holidays. This week’s posts will serve as a sort of report of what I got up to the previous day instead of the usual schedule – wish me luck that I achieve even half of what I’d like to. After I managed to get the toggl and toshl [...]
Can I please take all my classes online?
As I prepare to study for the subject that has been the bane of my existence for the past two years (by writing this blog post instead) I can’t help but draw a comparison between how classes in my real world university are going and the classes I’m taking as part of Stanford’s online experiment [...]
I suck at implementing neural networks in octave
A few days ago I implemented my first full neural network in Octave. Nothing too major, just a three layer network recognising hand-written letters. Even though I finally understood what a neural network is, this was still a cool challenge. Yes, even despite having so much support from ml-class … they practically implement everything and [...]
I think I finally understand what a neural network is
Last night I was consumed with watching lessons from the online machine learning class at Stanford. The topic was neural networks, or rather the finer points of forward and back propagation. Every time I have wanted to learn how neural networks work it just didn’t click. Anyone I asked mostly just waved their hands and [...]
First steps with Octave and machine learning
You know how most programmers find functional coding to be ever so slightly mind bending and how it’s somewhat difficult to wrap one’s head around working with variables whose state you cannot change and lazy evaluations and all manner of odd things? The thing I’ve had most trouble with and still do actually, is coding [...]
ml-class.org vs. real world ML class
Due to circumstances not completely out of my control I am in a unique position this semester to take a whole bunch of interesting classes strewn from all over – I am officially attending only three at my college. As part of my new found freedom I’m sitting in on a Machine Learning class by professor [...]
The university lecture structure is all wrong
Image via Wikipedia Yesterday I was attending a lecture about artificial intelligence and Lisp. The whole thing was a complete brainfuck, most of the time I was left with eyes glazed over staring at the projection and feeling a little bit butt raped. And yet, I still feel like I’ve learned a lot and the [...]
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Everyone should work out! (here’s why)
Image by ecstaticist via Flickr Do you remember Skynet? You’d better, because it was the single most accurate prediction of what will inevitably happen once we develop true artificial intelligence. There is a curve to the development of artificial intelligence, a curve I may or may not have made up myself. At first machines are [...]
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