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,...
In this post, we consider different approaches for time series modeling. The forecasting approaches using linear models, ARIMA alpgorithm, XGBoost machine learning algori...
It isn’t too unusual for surveys to contain open-ended questions: respondents would be free to enter their comments in any manner. More on an operational basis, not...
If you’ve been struggling to get useful results from big data, you’re not alone. The buzz has been that any company not doing analytics is behind the times. B...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Contributed by Yannick Kimmel. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to ...
The Internet of Things (IoT) is changing our world. This may seem like a bold statement, but consider the impact this revolutionary technology has already had on communic...
In short, an ontology is the specification of a conceptualization. What does that mean from the perspective of the information sciences? Wikipedia’s definition: ...
Long title: The Goal-Question-Metric (GQM) Model to Transform Business Data into an Enterprise Asset. Today, digitization is dramatically changing the business landscape,...
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 aske...
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