A Brief Overview of the Regime Shift Detection Methods
My Take The most persistent challenge in time series analysis is correcting adequately for changes in trend. Mean stationarity is...
Visualizing Matrix Factorization Using Self-Organizing Maps
My Take This is a more detailed discussion of the matrix factorization approach that is usually used in recommender systems....
Introduction to Recommender Systems in 2018
My Take Recommender systems are a great example of how machine learning can captures incremental benefits in the eCommerce industry....
Learning Market Dynamics for Optimal Pricing
My Take When it comes to building multi-level hierarchical models in a business context, there is a persistent tension between...
Linear regression implemented four different ways
My Take Linear regression is one of the most versatile and fundamental tools for statistical modeling. It forms the basis...
An overview of proxy-label approaches for semi-supervised learning
My Take The relative expense and unavailability of labelled datasets is a major detractor from the utility of supervised learning...
What is Data Science Anyway?
One of the biggest enduring problems with the way that Data Science (DS) is managed within institutions of all sizes...
The Value of the Qualitative Experience: Reversing Neural Networks
As a child, I would often stare at the clouds and assign identities to their shapes. There were clouds that...
Teaching a Computer to Play Video Games
One of the coolest new videos making the rounds is a video by Seth Bling where he introduces a scheme...