In a previous post I explained where to start in a Data Science Project. I've also given you a Project Plan that shows all the steps you need to help your organization with a Data Science objective. The first step in that Project Plan is "Business Understanding", and the first step in that process is … Continue reading The Keys to Effective Data Science Projects – Part 2: The Question
Artificial Intelligence is a vastly complicated topic. It's not just that it has a lot of components (because it does) it's because it isn't really a single topic. It's a surprisingly old field of study that has morphed and changed over the years. I worked with "AI Systems" in the 1970's - and even then … Continue reading Simplifying (?) Artificial Intelligence
In most of the Data Science and AI articles, blogs and papers I read, the focus is on a particular algorithm or math angle to solving a puzzle. And that's awesome - we need LOTS of those. However, even if you figure those out, you have to use them somewhere. You have to run that … Continue reading A Data Science Microsoft Project Template You Can Use in Your Solutions
I've explained in other articles that Data Science is not a replacement for other data technologies, it's a continuation of the data analytics process. So if Data Science is used in analytics of large sets of data, how does it differ from Business Intelligence (BI), which is also used to analyze large sets of data? … Continue reading What is the main difference between Business Intelligence and Data Science?
There's a show on US television called "This Old House", where a team of craftsmen fix up older homes - like VERY old (at least old in the US sense). In one episode, an entire quarter of the show time was devoted to the amazing lengths the team went through to put in updated plumbing … Continue reading Build the House Around the Plumbing