Category Archives : Medicine (non-Malthusian)

Artificial Intelligence – Part Four

Tweet Previously we looked at presenting a consumer with a list of video program selections based on “preferences” of the individual consumer. The service being provided is essentially a “cloud library” of video programming with the “librarian software” helping in the selection process. Concurrently, the “cloud librarian” is collecting data about the collective consumers to […]

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Artificial Intelligence – Part Three

Tweet In the previous post it became clear that the difference between humans and machines is the speed of processing data and information. A simple data point is really very simple and we humans can handle it very easily even if we do not understand the potential knowledge it conveys. If you go to the grocery […]

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Artificial Intelligence – Part Two

Tweet In the last post we looked at the “human” machine in exploring intelligence and established that it takes roughly 18 years to program the machine to function in humanity and that learning by the complex computer called the brain never ceases until the machine fails completely. It is worthwhile to note that the earliest […]

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Artificial Intelligence – Part One

Tweet In a previous post, I stated that this we would begin looking at artificial intelligence or AI. It was my belief that writing a bit (or byte) about AI would be easy, after all the term is used everywhere in advertising, it tells me what I like to watch on Netflix, and it is essential […]

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Statistics (and Probability) – Part One

Tweet In exploring the future of humanity and the world we must rely on the collection and analysis of statistical date and apply the inferences drawn to decision making, selecting what road we will take both collectively and individually. In the previous series of columns about risks, rewards and responsibilities, we started with probability and […]

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Statistics (and Probability) – Part Ten

Tweet In the previous posts we explored different areas where statistics are used for scientific purposes, management purposes. operational decisions and intellectual purposes. For example, measuring the cross sections of a Uranium atom (a statistical measurement) allows for the design of a nuclear reactor. But how do you measure what people want both individually and collectively? […]

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Statistics (and Probability) – Part Nine

Tweet In the previous post we surveyed some of the areas where statistics are essential in the disciplines, ending that there was insufficient space to cover statistics in governance. While governance covers a broad range of activities, for now let us just explore government and, more specifically, a democracy. In democracy, citizens vote on who should […]

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Statistics (and Probability) – Part Eight

Tweet In this series we have looked at the application of statistics in a few areas with the central theme that statistics deals with the representation of large volumes of historical data points in order to make predictions about the future and decisions about what path or road to take. We know where to go […]

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Statistics (and Probability) – Part Seven

Tweet We finished Part Six of this series by referencing the terms mean, mode and median. What do these terms tell us statistically? To explore them, consider the following fictional set of data about the appraised value of a set of houses in a small cluster of homes.   Number of Houses                             Value ($K) 1  […]

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Statistics (and Probability) – Part Six

Tweet In the previous part of this series, we identified several areas where statistics play a major role in the decision making and management of a field or industry. Moving to greater detail, a good place to start is insurance, something we all purchase based on fear or required by law.   In 1653, Lorenzo de […]

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