08 Jan 2018
Let’s play a game. I think of 5 numbers from 1 to 100. A friend, who has no idea what my 5 numbers are, then tells that you can pick a number from 31 to 60. You win the game if the number you picked is one of the 5 numbers I thought of. Assume that I had no idea that you were going to be restricted to guessing only a number from 31 to 60 (otherwise it wouldn’t fair!). What are the odds of you winning the game?
01 Jan 2018
Last year (2017), I had set three long term goals. It focused entirely on computer science. It didn’t entirely go well. Perhaps that could be attributed to the naiveness of the goals. This year, I will once again set three goals for the year. But, this time, I want to make sure that these are not focused only on computer science.
30 Dec 2017
2017 was a long year, good nonetheless. I want to take a moment to look back at the highlights of 2017. Some of the things I cover here are the goals I set out at the beginning; some of my favorite books; the good stuff – research; and other miscellaneous things.
19 Dec 2017
If you had asked me why I want to go to university, and why I am studying what I am studying, a few months ago, I would have replied with superficial answers like, “Get a job” and “I love mathematics”. But after taking the class Critical Encounters, my answer is completely different. This class made me rethink several aspects of life, and question who I wanted to be.
30 Nov 2017
This article is a simplified version of the research report that aims at identifying and tracking craters in images for optical navigation in space. We first survey at existing image processing techniques. We then proceed to bootstrapping a deep neural network classifier with the help of TensorFlow Object Detection API and images from NASA’s Detecting Crater Impact Challenge. We then implement a preliminary tracking algorithm that stores images and computes mean squared error to detect if the crater has already been seen before.
12 Aug 2017
In the previous article, we used linear regression to predict the price of houses.
Then, we saw that this model does not find any non-linear correlations.
The most fascinating thing about neural networks is that they automatically model
any non-linearities present in the phenomenon.
In this article, we will use neural networks to overcome that shortcoming.
07 Aug 2017
3 days beside a beautiful lake, under the summer sun. 400 avid hackers who care about the community.
Thousands of ideas shared. That’s probably how I’d describe Hackcon V in three lines.
But it is so much more than that.
Hackcon is the annual conference that brings together some of the most passionate hackathon organizers
around the world to share ideas and views on how to make the hackathon community a better place for everyone.