Introduction During the most recent decade, the force originating from both the scholarly community and industry has lifted the R programming language. Also, they have wo...
This is the first article in what will be a three-part series: “How to make your mark on the world as a talented, socially conscious data scientist.” In thi...
Many of the following statistical tests are rarely discussed in textbooks or in college classes, much less in data camps. Yet they help answer a lot of different and inte...
Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never rea...
An Introduction to Bayesian Reasoning You might be using Bayesian techniques in your data science without knowing it! And if you’re not, then it could enhance the p...
These 25 queries using our own data science search engine, return hundreds of articles and resources, sorted by popularity and recency. This resource is part of a series ...
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...
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...
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...