Let’s say you’re running an A/B test. Maybe you want to test how many conversions you will get if you change the design of the Signup page or the wording. You split users landing on your site into 2 groups – the control group and the experimental group. Those in the control group see the […]
Often with Natural Language Processing (NLP) applications a pipeline is useful to take the raw text and process it and extract relevant features before inputting it into a machine learning (ML) algorithm. Normalization From the standpoint of an ML algorithm, it may not make much sense to differentiate between different cases of a word – […]
This guide will be about setting up the fiddly bits when deploying a Jupyter Hub to an AWS instance. It won’t go into explicit detail about absolutely every step as the docs already do a great job of that. The purpose of this post is to discuss the things I found tricky after the install […]
This year has been like no other in living memory. Coronavirus has shaken our collective sense of what normality means and will undoubtedly continue to affect the world for years to come in one way or another. In this blog post I to try to gain some insights about the impact of Coronavirus around the […]
In a previous post, I walked through the maths of back-propagation (“backprop”). Here I will go through the implementation in Python (heavily based on Andrew Ng’s course). I’m going to use the alternative form equations (in the last blog post I denoted those with a tilde, but now I will drop that tilde). This means […]
The Django ORM makes interacting with the database a breeze, but without due care can also lead to poor performance. Example models Let’s say we have 2 very simple models, an Artist and her Artwork: Fetching artworks for each artist Imagine we had a user listing endpoints (for example in a Django rest framework API), […]
Imputing missing values From the mean of a feature Country Name YEAR GDP ARUBA 1965 NULL ARUBA 1966 5.872478e+08 Say you have a dataframe for GDP by `Country Name` for each `year`, but some years are missing values. One way to deal with the missing values is to fill them in with the mean GDP […]
imgproxy is a fast and secure standalone server for resizing and converting remote images. The main principles of imgproxy are simplicity, speed, and security. I wanted to use imgproxy with AWS to serve images up from an s3 bucket and have it also sit behind a Cloudfront distribution. At the time, I didn’t see any […]