Working Up

by Dwayne Phillips This is a variation on the question, “What is the difference that makes a difference?” When trying to modify behavior, we must be able to answer the title’s question. The title of this post is a fundamental science question. You are telling me that factor A is important here. Okay, it seems […]

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by Dwayne Phillips After a few more years, I think I understand the essence of Data Science. It isn’t that complicated. I wrote a post in November of 2020 attempting to describe the essence of data science. A few thoughts came to me recently. So here goes another attempt. A person has a large amount […]

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by Dwayne Phillips We used to discuss this topic, but with different choices. Time passes. People discuss this on the Internet. Today’s question is “R or Python?” Good grief, two interpreted languages that run slow. But they are good for prototyping things, bringing in mammoth libraries, and writing useful things in ten lines of code. […]

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by Dwayne Phillips The skill we should be teaching and learning and using more than any other today is question asking. We live in a world where all the questions have answers. We just have to find the answers. We have the facts, the data, the everything online in front of us. It is there. […]

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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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