Lead your own data science projects with the 3 Ps
There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. …
Previous articles
Best practices for logging computational systems in R and Python
As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …
How to write good tests in R
Testing is an often overlooked yet critical component of any software system. In some ways this is more true of …
Modeling data with functional programming – State based systems
UPDATE: This draft is obsolete. Please see latest draft at I’m pleased to announce the availability of my latest chapter …
Rosie the Robot vs Roomba: Two Views on AI
This site generously supported by Datacamp. Datacamp offers a free interactive introduction to R coding tutorial as an additional resource. …
Using Occam’s Razor to solve genius math puzzles
Math puzzles always tickle the brain, and this one has tickled quite a few on LinkedIn. Why are these puzzles …
Is deep learning a Markov chain in disguise?
Andrej Karpathy’s post “The Unreasonable Effectiveness of Recurrent Neural Networks” made splashes last year. The basic premise is that you …
Making AI More Human: How To Give A Sales Pitch As A Technical Talk
I had the pleasure of seeing Gary Marcus give his talk “Making AI More Human” at the NYC Machine Learning …
7 Ways to Perplex a Data Scientist
On the heels of a report showing the inefficacy of government-run cyber security, it’s imperative to understand the limitations of …
Big data in ranching and animal husbandry
Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching …
