If you’re like me, you’ve heard a lot about Gradient Descent. You’ve heard that it is a foundational algorithm for optimising functions which all self…
Continue reading → Gradient Descent: The Workhorse of Machine Learning
Introduction Recently, Quanta magazine published an article about how a new basic identity about Linear Algebra has surfaced from Applied Physics. The identity is about…
Continue reading → Eigenvectors from Eigenvalues – Application
Prologue Earlier my career I worked for a loyalty card scheme for one of the largest supermarkets in the UK. During my time I was…
Continue reading → Market Basket Analysis – The Apriori Algorithm
Nearest neighbour algorithms classify unlabelled instances (data observations/ cases) by assigning them to a class which is the most similar found in the training data.…