Continuing from where we left last post, we were discussing the batch gradient algorithm. The iterative formula is The most obvious way to do this in normal Python would be to run a double nested loop, one from 1 to m to sum up the partial derivative term, and the other from 1 to n. […]

Hi, before I start writing anything, I would say sorry if this article (and the forthcoming articles hopefully) seems plagiarised. It mainly is from different sources, that I’ve written in my own words, mostly for my own reference, I would really love to see someone else benefit from this too, so here we go. Lets […]

Hi, I had taken this informal Stanford machine learning course last year, and since my GSoC finally got over I thought I would take it a bit more seriously. The Machine Learning course was in octave, and I started implementing a few algorithms using Python and Numpy. Here are a few must now concepts that […]

All of us know that git is quite a useful tool. However the smallest of mistakes, can make something drastically go wrong, and we (atleast I) would be blaming git for something useless that I did. Here are a few commands that I found useful from quite a few links. Hope you find them useful […]

Well. It surely has been a few testing months of my life (due to various reasons, some of which I don’t want to mention here), and has been a up and down journey throughout with more of downs than ups.(damn these cliches) .It all began sometime during this February/March when I had nothing to do […]

Hi, I finally managed to do some amount of work for the past ten days, and I’m happy to day that all that I had wanted to do this GSoC has been pushed in and I’m waiting for comments on my final Pull Request. These were the changes that I had made. 1. Making stuff […]

Hi, Sorry for the late post this week. I couldn’t do much of work last week, but I did manage to write some code. First of all, I managed to get the lie group hint finally in.  The Pull Request can be seen here, https://github.com/sympy/sympy/pull/2359 . Its nice to see the work that you have […]

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