Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement more than neural networks and… Read More »A primer on universal function approximation with deep learning (in Torch and R)
There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. This material will serve you… Read More »Lead your own data science projects with the 3 Ps
The Data-Driven Weekly is kicking off 2016 by exploring how big data and analytics is powering data-driven business in different industries. First off is the… Read More »Big data in agriculture
Andrej Karpathy’s post “The Unreasonable Effectiveness of Recurrent Neural Networks” made splashes last year. The basic premise is that you can create a recurrent neural… Read More »Is deep learning a Markov chain in disguise?
On the heels of a report showing the inefficacy of government-run cyber security, it’s imperative to understand the limitations of your system and model. As… Read More »7 Ways to Perplex a Data Scientist
Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching is sometimes bundled with agriculture,… Read More »Big data in ranching and animal husbandry
Photo: Nathaniel Welch It turns out I’m not the only one who thinks AI alarmism is a bit out of hand. The ITIF Luddite Award… Read More »The Data-Driven Weekly #1.7
Right on cue, this past week heralded in an announcement of OpenAI, a new non-profit started by a number of tech luminaries to spearhead AI… Read More »The Data-Driven Weekly #1.6
