How many times have you heard someone say they are data-driven or data centric or that “data is the heart of everything they do”? I’ve…
Continue reading → Why You’re Not as Data-Driven as You Think You Are
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
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…
Recently I was thinking about the gradient descent algorithm and I was bothered was one question - Why do we go in the direction of…
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
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.…