Implementing HyperLogLog in Redshift and Tableau
My Take In an ideal world, data is stored and queried against in as raw a form as possible. Materialization...
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...
Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
My Take StitchFix is one of those companies where the algorithm is the product. Anyone can sell you clothes, but...
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...
Uber’s Big Data Platform: 100+ Petabytes with Minute Latency
My Take When it comes to doing analytics and data science at scale, it seems like you can either have...