Feature Tracking and Optical Navigation

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.

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Neural Networks on House Prices

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.

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Hackcon V

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.

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Regression on House Prices

Linear regression is perhaps the heart of machine learning. At least where it all started. And predicting the price of houses is the equivalent of the “Hello World” exercise in starting with linear regression. This article gives an overview of applying linear regression techniques (and neural networks) to predict house prices using the Ames housing dataset.

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My Productivity Toolkit

August is fast approaching. This means that summer is about to end and school is about to begin soon. For some of you, school might have already started. And it’s time to start studying and managing stress again. Learning tough concepts, remembering when assignments are due, juggling time between school and life, pulling in an all-nighter to finish that project, and what not. In short, it’s time to become more productive.

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Ethics in Machine Learning

The ethics of how a Machine Learning (ML) or an Artificially Intelligent (AI) system is to function is a common thought that arises when we read about significant advancements in those fields. Will this sentience take over humanity? Or will it help us reach a Utopian era? It’s definitely not a binary question. But, one of the less commonly asked questions (and perhaps rightly so) is “Was this built and founded with the right virtues?”. And this question concerns less about the motivation behind building a ML system than it seems.

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HackCU III

Last week, the third edition of Colorado’s largest student hackathon, HackCU III, took place at Boulder. With nearly 400 hackers from all over US, this 24 hour hackathon is the largest one yet. And being a part of the organizing team this year was an amazing experience.

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