Blog key points: Google open-sourced TensorFlow to gain tens of thousands of more users across hundreds (thousands) of new use cases to improve the predictive effectivene...
A schema is a conceptual framework. It can function as a lens through which to study data. When I was conducting research on workplace stress to do my graduate degree...
In the nascent field of Data Science, myths are abound. Here’s my top 10, scoured from the internet (where better than to find a myth or two?). Myth #1: It’s ...
Until very recently, most organizations have seen two distinct, non-overlapping work streams when building an AI enabled application: a development path and a data scienc...
Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent va...
Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address the Google Static...
This article was written by Hunter Heidenreich. Looking into what a generative adversarial network is to understand how they work. What’s in a Generative Model? Befor...
Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience ...
image source – wikipedia Update Hello all, The first book is posted on data science central here, and the community group is here. Please join the community so you...
This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku. A lot of aspiring Data Scientists take courses on statistics...