Why “Gradient” Descent?
Recently I was thinking about the gradient descent algorithm and I was bothered was one question - Why do we go in the direction of…
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Eigenvectors from Eigenvalues – Application
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…
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Random Variables and Probability Functions
In this post I will build on the previous posts related to probability theory - I have defined the main results of probability from axioms…
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Market Basket Analysis – The Apriori Algorithm
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…
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“It’s Not Special” – The Best Advice I Ever Had
Impostor syndrome is a real feeling and I get it at least twice a day with respect to what I do. Sure, I have a…
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Probability – Definitions and Axioms
After the last post discussing set theory here, the next logical step is to discuss the concept of probability theory. The theory of probability is…
Introduction to Probability – Set Theory
Recently I have been undertaking a project to commit my accrued notes relating to statistics online. I want to do this for a few reasons:…
Nearest Neighbour Classifiers
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.…