Working Up

by Dwayne Phillips Big data? What we usually do is automate work on data that is too big to work manually. I used to work on a project where the project leader would tell people, “We work big data.” I was frequently asked (later after the project leader left the room), “What is big data?” […]

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by Dwayne Phillips Data seems to be opposite of everything else when it comes to saving it, using it, and producing value. When we use things, they lose value. Drive a car a thousand miles and its loses value, i.e., no one will pay as much for a car with 1,000 miles as they will […]

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by Dwayne Phillips Many of today’s data scientists are similar to man of the web designers of the 1990s. I think this is a good thing. A recent conversation with a colleague helped me to realized something about data science in today’s world. I thought data scientists were computer scientists, engineers, and mathematicians who knew […]

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by Dwayne Phillips Sometimes we “know where everything is” despite outward appearances. Sometimes we have “a place for everything and everything in its place.” Sometimes both ideas work. Sometimes neither work. Data is everywhere. Data is the new oil or bacon or pizza or something good or bad. The trouble with data is if I […]

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by Dwayne Phillips Lest we forget, we have always had more data than we could process. For some reason, we are now recording it with magnetism. I just read yet another article telling me that “data is everywhere.” Then there are the usual numbers of peta-peta-something-or-other bytes of data every second or so. Cries follow […]

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by Dwayne Phillips Linear Regression is an old, basic technique to predict the future given the past. It seems that its utility has been forgotten by many. How did we get here? Why didn’t anyone see this coming? These are a couple questions I heard recently when groups of persons gathered to discuss … well, […]

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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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