Word2vec vs Fasttext – A First Look
Introduction Recently, I've had a chance to play with word embedding models. Word embedding models involve taking a text corpus and generating vector representations for…
Being a Data Scientist at a Start-Up
Although data science as a job function is relatively new compared to roles like software engineer or database administrator, in the age of “Big Data”,…
ML Classifier Evaluation – A First Look
Once you’ve built a machine learning classifier, the next step is to validate it and see how well it fits the data. This short post…
Naive and Proud: Introducing the Naive Bayes Algorithm
The Naive Bayes Algorithm is a simple and elegant approach for tackling supervised learning problems in Machine Learning. This post will be a brief introduction…
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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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Job Searching in Data Science
Job searching can be irritating at best and hopelessly frustrating at worst. This is particularly true in Data Science where the field is still relatively…
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…
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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