AI Is the Future of the Internet – and Finally Somebody Notices
Summary: You’d think that the internet was the core of the digital economy but it’s not. Data science is the core without which the digital economy wouldn’t exist...
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100 Free Tutorials for learning R
R language is the world’s most widely used programming language for statistical analysis, predictive modeling and data science. It’s popularity is claimed in ...
20 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
An executive’s guide to machine learning
This article was written by Dorian Pyle and Cristina San Jose on McKinsey&Company. Dorian Pyle is a data expert in McKinsey’s Miami office, and Cristina San Jos...
How well do facial recognition algorithms cope with a million strangers?
This article was written by Jennifer Langston. Co-authors include UW computer science and engineering professor Steve Seitz, undergraduate student and web developer Ev...
Being an Ontologist
I am sometimes asked whether I am working on the stats, whether I am making progress on the stats, and what I do with all of the stats. People are also prone to hyperbo...
How To Interpret R-squared and Goodness-of-Fit in Regression Analysis
This article was written by Jim Frost from Minitab. He came to Minitab with a background in a wide variety of academic research. His role was the “data/stat guy” o...
Ux + AI = Cognitive Ergonomics
Summary: The addition of AI capabilities to our personal devices, applications, and even self-driving cars has caused us to take a much deeper look at what we call ‘U...
Logistic Map, Chaos, Randomness and Quantum Algorithms
To read my most recent article about chaotic systems, click here. The logistic map is the most basic recurrence formula exhibiting various levels of chaos depending on ...
A Primer on Deep Learning
This article was written by Dallin Akagi. What is deep learning? I like to use the following three-part definition as a baseline. Deep learning is: a collection of stati...