Working Up

by Dwayne Phillips Data is money. Information is money. Here is a precise, concrete, and specific example. Data is money. Information is money. Yeah, we hear that all the time. Really? What are you trying to sell me? A few years ago (dates and names withheld to protect the guilty) I worked in a job […]

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by Dwayne Phillips Another variation of Lewis Carroll’s “If you don’t know where you are going, any road will get you there.” This time we apply it to hiring data scientists. “We can’t hire enough data scientists.” At least I read that almost everyday out there on the Internet. Well, why can’t we? Here are […]

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by Dwayne Phillips Despite all the promise and all the already fulfilled promise, there is a fundamental problem with machine learning. Machine learning is that part of artificial intelligence that time and technology favors. We have the stuff needed to make machine learning work right now. Machine learning “works” because you feed in a million […]

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by Dwayne Phillips After a few years, I think I understand the essence of Data Science. It isn’t that complicated. I have been working in, around, above, below, to the side, and every which way but loose of Data Science for the past few years. Perhaps I have learned what Data Science is. There are […]

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by Dwayne Phillips Some people work on big data. The rest of us find value by working on data that is bigger than we can understand without some hand-crafted tools. For about two years I worked on a BIG DATA project. Well, that is how it was touted. BIG DATA was a cool name that […]

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by Dwayne Phillips Logarithms help represent large and complex items with smaller and simpler concepts. We forget this at our peril. I used a slide rule in years gone past. It functions on logarithms. These take large numbers and represent them with small numbers. It really is a remarkable concept. The logarithm concept has been […]

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by Dwayne Phillips A group of STEM (Science, Technology, Engineering, Mathematics) folks sit at a table and dream. This is a fable. Don’t take it seriously folks. One day in the cafeteria at a college, a group of STEM (Science, Technology, Engineering, Mathematics) persons gathered at a table near the patio. (Actually, it was a […]

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by Dwayne Phillips Are you a data scientist? Have you ever read that old green textbook? Probably not, and that is unfortunate. I’ve been delving into data science lately. I’ve applied for a few jobs with the title “Data Scientist.” I’m not sure what a data scientist is, but much of what I have learned […]

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