Comparing the Four Major AI Strategies
Summary: Now that we’ve detailed the four main AI-first strategies: Data Dominance, Vertical, Horizontal, and Systems of Intelligence, it’s time to pick. Here we ...
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Power BI: Tutorial
Guest blog by Robert Breen. What is PowerBI? Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of...
Neural Networks gone wild! They can sample from discrete distributions now!
Guest blog by Yoel Zeldes. This post describes: what the Gumbel distribution is how it is used for sampling from a discrete distribution how the weights that affect the ...
DSC Webinar Series: Semantics and Cognition for Visual Analytics
Semantics is an area of linguistics and natural language processing to help make sense and meaning of the world around us. In visual analytics, using principles of semant...
Bill Vorhies Retrospective: Part 6
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
Using Design to Drive Business Outcomes, or Uncovering What You Don’t Know That You Already Know
Okay, that may be the most complicated title that I’ve ever read, but here’s the point of that title: Most people don’t know what they already know. Maybe spun ...
Comparing AI Strategies – Systems of Intelligence
Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as the Vertical strategy we previo...
Academia to Industry: Applying Your PhD In Business
After years of working on your PhD and being in academia, transitioning into a Data Science career can be a culture shock. It’s important to understand how the roles yo...
Feature Selection For Unsupervised Learning
This is my presentation for the IBM data science day, July 24. Abstract After reviewing popular techniques used in supervised, unsupervised and semi-supervised machine le...
DSC Podcast Series: Infrastructure Considerations for Deploying Deep Learning at Scale
Every organization wants to infuse the power of AI in its business. In this second of two parts we’ll explore the productivity, performance and cost considerations that...