Who wants to hear a story about data?! …(silence)… Understandably, not a lot of people would raise their hands to an intro like that. For me, however, data ha...
The opportunity to watch and coach the University of San Francisco (USF) students during our annual Hackathon with our friends at Good Dataprobably taught me as much as i...
Summary: We’re rapidly approaching the point where AI will be so pervasive that it’s inevitable that someone will be injured or killed. If you thought this was co...
In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development…,” I introduced the Hypothesis Development Canvas as a tool for linking an ...
This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web pages with R....
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a ...
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise AI: An ...
In this latest Data Science Central webinar, we will cover the principles for training your neural network including activation and loss functions, batch sizes, data norm...
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platfo...
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platfo...