Data Science

Predictive maintenance helped win a war. Now, it can help you outpace the competition.

The year is 1943. Britain’s survival still hangs by a thin, precarious thread, despite America joining the war effort. Just a few months ago, in February 1942, two German battleships, the…

Data Science

A comprehensive guide to text pre-processing with python

This is Part 1 of a pair of tutorials on text pre-processing in python. In this first part, I’ll lay out the theoretical foundations. In the second part, I’ll demonstrate the steps described below…

Data Science

Answering the big questions (this time, in chemistry)

Why do some molecules have undesirable biological effects, but others don’t? A model can tell us which do and which don’t, but model introspection can go one step further: it can tell us why.

Data Science

Create a map of Budapest districts colored by income using folium in Python

Ever wondered how to draw a map of less common geographical areas? And color them based on some data? This pair of tutorials shows how to build this from scratch! First, you need to construct the…

Data Science

JIT fast! Supercharge tensor processing in Python with JIT compilation

At Starschema, we’re constantly looking for ways to speed up some of the computationally intensive tasks we’re dealing with. Since a good amount of our work involves image processing, this means…

Data Science

Digging deeper into ensemble learning - Starschema Blog - Medium

Have you ever wondered how combining weak predictors can yield a strong predictor? Ensemble Learning is the answer! This is the second of a pair of articles in which I will explore ensemble learning…

Data Science

Combine your machine learning models for better out-of-sample accuracy

Have you ever wondered how combining weak predictors can yield a strong predictor? Ensemble Learning is the answer! This is the first of a pair of articles in which I will explore ensemble learning…

Data Science

Growing Neural Gas for Good: quantifying hard retinal exudates in diabetic retinopathy using GNGs

Diabetic retinopathy is a major cause of blindness in the developed world. Read how an uncommon neural network algorithm can be used to quantify the extent of disease.

Data Science

Quantifying hard retinal exudates using Growing Neural Gas algorithms

Diabetic retinopathy is a major cause of blindness in the developed world. Read how an uncommon neural network algorithm can be used to quantify the extent of disease.

Data Science

Self-Organising Feature Maps for fun and profit - Starschema Blog - Medium

This is Part 2 of a three-part series on competitive neural networks. You can find Part 1, an introduction to competitive neural networks, here. Part 3, which looks at a different competitive…

Data Science

Self-Organising Feature Maps for fun and profit - Chris von Csefalvay - Medium

This is Part 2 of a three-part series on competitive neural networks. You can find Part 1, an introduction to competitive neural networks, here. Part 3, which looks at a different competitive…

Data Science

Funderstanding competitive neural networks - Starschema Blog - Medium

Funderstanding is a little term I came up with a few years ago for fun ways of understanding complex concepts. The typical university way of teaching something is by laying the theoretical…