Machine Learning Poised to Impact Business Analytics
We may be years away from the “AI-enabled Coworker,” but the first implementations of machine-learning capabilities are finding their way into the everyday data-analy...
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Visualizing Survey Data
This article comes from Data Revelations, a training, consulting, and development practice devoted to helping organizations understand, analyze, and share their data. He...
White House Reports on Big Data, Algorithmic Systems, and Civil Rights
White House report on embedding civil rights principles into algorithms. Table of Contents: PREFACE……………………4 The Assumptio...
Modern Computational Advertising on Social Networks: The Basics
The two situations discussed here also apply to marketing (not just advertising), and not just using social networks, but other channels such as Google. The insights prov...
The Challenge of Hiring a Chief Data Scientist
Guest blog by David Stephenson, Ph.D. David is a data science and big data analytics speaker and thought leader. For over 15 years, David has been delivering analytic ...
Data Science for IoT vs Classic Data Science: 10 Differences
Guest blog by Ajit Jaokar. Ajit”s work spans research, entrepreneurship and academia relating to IoT, predictive analytics and Mobility. His current research focus i...
2015 Salary Survey of Business, Industry, and Government Statisticians
This article was posted by Patricia Hall and Varghese George on Amstatnews. The ASA contacted the Statistical Consulting and Survey Center in the Augusta University De...
Data Scientist – Still the Best Job in America – Again
Summary: It’s that time of the year when the major salary surveys come out. Once again it’s time for Data Scientist to take a victory lap. This year there’s a...
Processing Power Compared – Infographics
This infographic came from Experts Exchange. We may (sadly) live in a world devoid of flying cars and personal teleportation devices, but that doesn’t mean technol...
Designing better algorithms: 5 case studies
In this article, using a few examples and solutions, I show that the “best” algorithm is many times not what data scientists or management think it is. As a r...