Data Science

Answering the big questions (this time, in chemistry)

When I was a kid, I drove my parents and teachers absolutely insane by my need to know why things are the way they are. This was particularly tough on my poor chemistry teacher, constantly...

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…
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