Bill Vorhies Retrospective: Part 5
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...
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DSC Podcast Series: Selecting an Enterprise Deep Learning System
Selecting an Enterprise Deep Learning System Every organization wants to infuse the power of AI in its business. In this first of two parts, we’ll explore the journey f...
DSC Webinar Series: Embrace the Modern Analytics Lifecycle
How can organizations quickly discover insights in their data and develop deployable data science models? First step: understand how various components of their analytics...
Bill Vorhies Retrospective: Part 4
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...
Decision Tree Classifier Implementation In R
This article was written by Rahul Saxena. The decision tree classifier is a supervised learning algorithm which can use for both the classification and regression task...
Robots Behaving Badly
Not quite ready for world domination! ‘Suicidal’ security robot drowns itself in a fountain Alas, it seems we’ve got a few more years before the robots ...
Bill Vorhies Retrospective: Part 2
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...
DSC Webinar Series: An Expert’s Guide to Apache Spark™
Apache Spark™ has become the de-facto data processing and AI engine in enterprises today due to its speed, ease of use, and sophisticated analytics. As the first Unifie...
A Wetware Approach to Artificial General Intelligence (AGI)
Summary: Researchers in Synthetic Neuro Biology are proposing to solve the AGI problem by building a brain in the laboratory. This is not science fiction. They are ...
DSC Webinar Series: Combining Human Intelligence with Machine Learning for NLP and Speech
Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to...