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Credulous Data Science: Part Two – Surveys

Click to learn more about author Steve Miller. This is the Second Part of a two-part series. Read Part One here. About ten years ago, a software vendor with whom my intelligence consulting company partnered conducted a survey on the usage of various analytics platforms that were then prominent in the space. As a proselyte […]

How to Tackle Social Issues with AI?

Click to learn more about author Charles Richard. Never have disruptive technologies like artificial intelligence (AI) and machine learning had such an impact on how your business interacts with your user community as it does now. And there is a reason for that; the accessibility of computing power and data sets have ushered in breakthroughs […]

Simplistic and Credulous Data Science: Part One

Click to learn more about author Steve Miller. A few months ago, I was solicited by one of my many LinkedIn Data Science groups to participate in a survey. I’m generally a bit suspicious of surveys, reviewing the questions carefully before making the decision to respond. This initiative, though, posed a question that quite intrigued […]

Automated Machine Learning: Just How Much?

Click to learn more about author Rosaria Silipo. An interview with three data scientists and guided automation experts There is currently a lot of talk about automated machine learning. There is also a high level of skepticism. I am here with data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz.. to ask a few questions […]

Nowcasting Chicago Crime with R

Click to learn more about author Steve Miller. In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not, the work’s involved forecasting demand for an organization’s many products/lines of business a year or more out based on five or more […]

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