Is this a tank? - The Pentagon
A cautionary tale about trusting nefarious heuristics, overfitting, and the unreasonable effectiveness of the US department of defense.
How to intuitively understand neural networks
A framework for thinking about neural networks, and supervised machine learning.
A mathematical inquiry into kernel functions and their use.
Is it a Higgs, Computer?
Using neural networks to detect elementary particles.
How Does Backpropagation Work?
Deriving the mathematics behind backpropagation.
What Is A Neural Network?
Overview and introduction to feed forward neural networks. Forward propagation is discussed in detail, and we see how we might train a network.
Machine Learning Glossary
A collection of commonly used machine learning terms, and what they mean.
Looking at German Traffic Signs
A practical application of convolutional neural networks.
Post Mortem Analysis of my Final Year Project
A post mortem analysis of a Data Science approach for determining the existence and decay patterns of the Higgs boson.
Introduction to Tensorflow
We examine Google's open source library Tensorflow, and go through its components to understand how it can be used to create scalable machine learning models.
Solving "only 1% can answer this" Problems With Machine Learning
We examine 'genius' internet memes and consider how we might apply techniques from statistical learning to build an abstract solver.
Creating Your First Machine Learning Classifier with Sklearn
We examine how the popular framework sklearn can be used with the iris dataset to classify species of flowers. We go through all the steps required to make a machine learning model from start to end.