Each one is a repository in its own, and they cover topics such as time series, regression, outliers, clustering, correlation, Hadoop, deep learning, Python, IoT, data se...
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...
After posting Machine Learning Summarized in One Picture, we posted a picture for data science. You can check it out here. Other articles published since Monday View t...
After posting Machine Learning Summarized in One Picture, here is a picture for data science: I tried to find the source for this picture, but could not. I’ve foun...
I listened once to an old professor talking about working out factorial ANOVA and multiple regression on paper, back in the day. He described a whole room full of papers,...
Long title: The Goal-Question-Metric (GQM) Model to Transform Business Data into an Enterprise Asset. Today, digitization is dramatically changing the business landscape,...
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time series, and studying th...
More and more people are talking about the new economy, and in particular, the role played by robots. As jobs are being eliminated and replaced by robots, governments are...
Summary: Looking beyond today’s commercial applications of AI, where and how far will we progress toward an Artificial Intelligence with truly human-like reasoning an...
Actually, this is about two R versions (standard and improved), a Python version, and a Perl version of a new machine learning technique recently published here. We asked...