Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans. Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.
Added by William Vorhies on June 29, 2020 at 11:31am — No Comments
I routinely ask people who have degrees the following question: "So what did you do your thesis on?" Since I routinely encounter problems outside my domain, I like to be aware of the resources around me. I have been reminded that a student doesn't necessarily have to complete a major research paper to earn a degree. A student can just "do the program." As a person who has always chosen to do the research paper, I can say that this normally takes a fair amount of collaboration. There is a…Continue
Added by Don Philip Faithful on October 17, 2015 at 4:57am — No Comments
"Measurement owes its existence to Earth; estimation of quantity to measurement; calculation to estimation of quantity; balancing of chances to calculation; and victory to balancing of chances." - Sun Tzu, The Art of War (Translated by L. Giles)
The quote from Sun Tzu seems to suggest how a military leader gathers data; adapts to different situations; and makes decisions weighing the circumstances. It says that the balancing of chances depends on "calculation." I…Continue