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The Science of Data

Statistics, Data Science and everything in between

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Tag: R

Posted on 17th July 2021

The Bootstrap

Recently I’ve had occasion to use the bootstrap and have been reminded at what a remarkably powerful technique this is despite it’s simplicity. I thought…

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Posted on 7th July 2021

Look what the Cat dragged in: Catboost with Tidymodels

I’ve been learning the Tidymodels framework for building Machine Learning models in R pioneered by Max Kuhn and Julia Silge. After spending a few weeks…

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Posted on 11th December 201913th December 2019

Gradient Descent: The Workhorse of Machine Learning

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…

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Posted on 18th November 2019

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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Posted on 27th October 201918th November 2019

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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Posted on 19th September 201919th September 2019

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.…

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