The lack of education on these topics has generated unproductive arguments of risk and probability.

I’m hesitant to write about this as it is touches on a few controversial topics, but if I can help one person understand what I mean, it will be worth it. I often see two sides arguing about a topic describing the same concern, i.e., what is the risk. What…

My Notes for “How to Win a Data Science Competition From Top Kagglers” on Coursera.org

Overall, I found the course helpful and insightful, 4.79/5. There were many ideas that I had not considered before so I am posting some of my notes here. More than likely, you have seen most of these ideas so I will try to focus on the most interesting ones. …

A Modern Genetic Optimization Method (2019)

Review of Multi-Offspring Improved Real-Coded Genetic Algorithm (MOIRCGA)

This is a review of a modern genetic algorithm called multi-offspring improved real-coded genetic algorithm (MOIRCGA). The original paper can be found here. The method used by this algorithm is, formally, called heuristical normal distribution and direction-based crosser (HNDDBX). This algorithm uses generates a direction-based candidate solution and modifies it…

Essential information about the covariance matrix for data scientists

The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for how the covariance matrix operates is useful in understanding its practical implications. This article will focus on a few important properties, associated proofs, and then…

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store