Just mirroring a post from the other blog. Here is an IPython notebook with an implementation of the linear percepton algorithm. Details will follow in another post and I give a general idea of what it does in the notebook but here is what the picture looks like. Assuming that you have a set of points and you want to find a line that separates … Continue reading An IPython notebook on the linear perceptron
I don’t know when people exactly started using the awesome platform that is IPython to write full-fledged books, but this is one of those that you don’t want to miss. It’s basically a tutorial on Bayesian methods, using the PyMC package to explain several things like, What is probabilistic programming? How does Bayesian inference work? Why should you care about the law of large numbers? What … Continue reading Probabilistic Programming & Bayesian Methods for hackers
Just me playing around with Sympy and non-commutative operators. Check a small demo I wrote in IPython from the link here. These days, commutators play a central role when studying how lattice Monte Carlo performs when trying to compute some kind of observable. Often, I would want to try to compute that observable over an enormous lattice and then it’s a good idea to try … Continue reading Non-commutative operators, expansions, Sympy and all that Jazz.
Course Sequence. Continue reading Course Sequence for the Python Mechanical MOOC
If you are not familiar with mechanical moocing, then this sentence didn’t make any sense. Allow me to explain. It all starts with P2PU, or peer 2 peer university, an organization with only one goal. To explore ways to learn outside of the normal way, in a manner that shares a couple of ideas with Coursera and edX. P2PU released a new course called “an introduction … Continue reading I’m a mechanical Moocer as well!