Do you often go with gut feeling rather than data and insights? Is your data stored in separate databases, in different formats with different values? We all have bad ha...
Contributed by Richard Gartner. Richard is a data scientist with greater interest in database management. Currently, he runs a private DBA firm in California. Taking ...
Companies are always looking for ways to improve the way they work with data. The ability to build out a workflow, automate the data blending and preparation, and then an...
Target corporation’s massively profitable data science project threw them into the news spotlight a few years back. Their story makes for a valuable case study in brid...
Here is a nice summary of traditional machine learning methods, from Mathworks. I also decided to add the following picture below, as it illustrates a method that was ve...
Been trying to pull together a taxonomy of 3D data viz. Biggest difference is I think between allocentric (data moves) and egocentric (you move) viewpoints. The differenc...
Six Sigma is a quantitative approach to problem solving – to solve certain types of problems. At the root of Six Sigma is an improvement methodology that can be des...
Background – How many cats does it take to identify a Cat? In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should...
Big Data is not just the ability to store large amounts of data, more important is what we can do to the data in that large volume, how we use the data with such large vo...
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