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 that…

Digging deeper into ensemble learning

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…

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…

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.

Self-Organising Feature Maps for fun and profit

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…

Funderstanding competitive neural networks

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 groundwork…