Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists spent most of their ti...
Intuitive Machine Learning with focus on explainable AI, human-friendly intelligence, powerful visualizations and applications. By Vincent Granville Ph.D, published in Se...
n many respects, we are facing not the need for a new form of money but rather a new form of economics - a discipline about the world where scarcity still holds in physic...
Being the Community Editor for Data Science Central is a blast. Every week I get to choose articles from some of the best and brightest in the data community to feature, ...
In the first part here, I discussed missing, outdated and unobserved data, data that is costly to produce, as well as dirty, unbalanced and unstructured data. This second...
One of the central concepts of the metaverse is the notion that every person has a single sign-on controlled by the vendors, which can, in turn, be used to track users as...
This article is intended to users relying on machine learning solutions offered by third party vendors. It applies to platforms, dashboards, traditional software, or eve...
When I was six years old, I remembered Nichelle Nichols appearing on our family television set as the young communications officer aboard the Starship Enterprise, NCC-170...
How to fix various data issues in a few simple steps? In this first part, I discuss missing, outdated and unobserved data, data that is costly to produce, as well as dirt...
Announcements Achieving endpoint visibility to ward off the threat of a breach has never been more important than it is in the age of data proliferation and hybrid workpl...