Author: David Robinson

This summer I’ve been competing in the SLICED machine learning competition, where contestants have two hours to open a new dataset, build a predictive model, and be scored as a...continue reading.

Previously in this series The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.

Previously in this series The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.

Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.

Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.

Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday...continue reading.

Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The birthday...continue reading.

Previously in this series: The “knight on an infinite chessboard” puzzle The “lost boarding pass” puzzle The “deadly board game” puzzle I recently came across an interview problem from A...continue reading.

Previously in this series: The “lost boarding pass” puzzle The “deadly board game” puzzle I’ve recently been enjoying The Riddler: Fantastic Puzzles from FiveThirtyEight, a wonderful book from 538’s Oliver...continue reading.

I recently came up with the idea for a series of screencasts: I’ve thought about recording a screencast of an example data analysis in #rstats. I’d do it on a...continue reading.

Like a lot of people, I was intrigued by “I Am Part of the Resistance Inside the Trump Administration”, an anonymous New York Times op-ed written by a “senior official...continue reading.

A very useful concept in software engineering is technical debt. Technical debt occurs when engineers choose a quick but suboptimal solution to a problem, or don’t spend time to build...continue reading.

In January, I was excited to make an announcement about a shift in my career: I have some exciting news: today I’m joining @DataCamp as their Chief Data Scientist 🎉📊📈...continue reading.

My new office introduced me to a betting game I wasn’t previously familiar with: Super Bowl squares. It’s played with a ten-by-ten grid, like this one from printyourbrackets.com: Each row...continue reading.

In a recent post, I offered a definition of the distinction between data science and machine learning: that data science is focused on extracting insights, while machine learning is interested...continue reading.

When I introduce myself as a data scientist, I often get questions like “What’s the difference between that and machine learning?” or “Does that mean you work on artificial intelligence?”...continue reading.

Last week I shared a thought on Twitter: When you’ve written the same code 3 times, write a functionWhen you’ve given the same in-person advice 3 times, write a blog...continue reading.

For the last few years I’ve been encouraging a particular approach to R education, teaching the dplyr and ggplot2 packages first and introducing real datasets early on. This week I’m...continue reading.

Imagine you were going to a party in an unfamiliar area, and asked the host for directions to their house. It takes you thirty minutes to get there, on a...continue reading.

A year ago today, I wrote up a blog post Text analysis of Trump’s tweets confirms he writes only the (angrier) Android half. My analysis, shown below, concludes that the...continue reading.