This article builds on two previous articles about cutting a circular cake into eight equal sized pieces.
Getting Started with Sonnet, Deep Mind’s Deep Learning Library
Intro article to installing Sonnet. Mirroring what is on their github with a little commentary.
RSiteCatalyst Version 1.4.12 (and 1.4.11) Release Notes
I released version 1.4.12 of RSiteCatalyst before I wrote the release notes for version 1.4.11, so this blog post will treat both releases as one. Users should upgrade directly to version 1.4.12 as the releases are cumulative in nature.
Retrospective on leaving academia for industry data science
It’s been two and a half months since I left academia to take a job as a data scientist in industry. Although I haven’t been in my new job for very long yet, I wanted to check in with my current thoughts about whether the transition was worth it and the differences between working in academia and industry.
Approximating Implicit Matrix Factorization with Shallow Neural Networks
Implicit Matrix Factorization¶
Building a Tic-Tac-Toe web-app in this Webpack tutorial and Babel tutorial
In this Webpack tutorial, Babel tutorial, React and Redux tutorial, you will learn how to build a modern web game and you will learn the basics of Webpack, Babel, React and Redux. The resulting repository is found here.
Covariate-Based Diagnostics for Randomized Experiments are Often Misleading
Over the last couple of years, I’ve seen a large number of people attempt to diagnose the quality of their randomized experiments by looking for imbalances in covariates, because they expect covariate imbalances to be ruled out by successful randomization. But imbalance is, in general, not guaranteed for any specific random assignment — and, as such, many attempts to check for covariate imbalance are misleading.
Why Momentum Really Works
Step-size α = 0.02
Time Series Analysis with Generalized Additive Models
Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time—we are always interested to foretell the future.
Cake cutting part 2
Sometimes you rush to get an article out, and in haste make some assumptions. Last week was one of those weeks for me!