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Weekly Selection – Nov 30, 2018

Using Tensorflow Object Detection to control first-person shooter games

By Chintan Trivedi – 4 min read

A little while ago, I came across this very interesting project where the author of the article uses a webcam to play the classic fighting game named Mortal Kombat. He utilizes a combination of Convolutional Neural Net and Recurrent Neural Net to identify the actions of kicking and punching from his webcam recording.


Making Your Neural Network Say "I Don’t Know" – Bayesian NNs using Pyro and PyTorch

By Paras Chopra – 17 min read

Building an image classifier has become the new "hello world". Remember the day when you first came across Python and your print "hello world" felt magical? I got the same feeling a couple months back when I followed the PyTorch official tutorial and built myself a simple classifier that worked pretty well.


Introduction to Power Analysis in Python

By Eryk Lewinson – 7 min read

Nowadays, many companies – Netflix, Amazon, Uber, but also smaller – constantly run experiments (A/B testing) in order to test new features and implement those, which the users find best and which, in the end, lead to revenue growth. Data scientists’ role is to help in evaluating these experiments – in other words – verify if the results from these tests are reliable and can/should be used in the decision-making process.


3 common data science career transitions, and how to make them happen

By Jeremie Harris – 7 min read

Back when I was studying physics, I’d often need to look up fancy-sounding technical terminology on Google. And when I did, more often than not, the first hit would be a Wikipedia article.


Humanizing Customer Complaints using NLP Algorithms

By Vishal Morde – 8 min read

Last Christmas, I went through the most frustrating experience as a consumer. I was doing some last minute holiday shopping and after standing in a long line, I finally reached the blessed register only to find out that my debit card was blocked.


Reinforcement Learning with Python

By Vihar Kurama – 12 min read

Reinforcement is a class of machine learning where an agent learns how to behave in the environment by performing actions and thereby drawing intuitions and seeing the results. In this article, you’ll learn to understand and design a reinforcement learning problem and solve in Python.


Audio Classification using FastAI and On-the-Fly Frequency Transforms

By John Hartquist – 9 min read

While deep learning models are able to help tackle many different types of problems, image classification is the most prevalent example for courses and frameworks, often acting as the "hello, world" introduction.


Graph Theory – History & Overview

By Jesus Najera – 4 min read

Maybe it’s the intuitive hunch that analyzing systems as graphs will grow my understanding of decentralized vs centralized networks. The mathematician in me sees how nailing down network analysis can greatly benefit research in incentive-driven systems.


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