by Dr. Owns | May 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction Every company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet...
by Dr. Owns | May 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Topic modeling has a wide range of use cases in the natural language processing (NLP) domain, such as document tagging, survey analysis, and content organization. It falls under the realm of unsupervised learning technique, making it a very cost-effective technique...
by Dr. Owns | May 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
You know what the best part of being an engineer is? You can just build stuff. It’s like a superpower. One rainy afternoon I had this random idea of creating a sentiment visualization of a text input with a smiley face that changes it’s expression base on how positive...
by Dr. Owns | May 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
When the six merry murderesses of the Cook County Jail climbed the stage in the Chicago musical, they were aligned on the message: They had it coming, they had it coming all along. I didn’t do it. But if I’d done it, how could you tell me that I was wrong? And the...
by Dr. Owns | May 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction A fundamental concept in Computer Vision is understanding how images are stored and represented. On disk, image files are encoded in various ways, from lossy, compressed JPEG files to lossless PNG files. Once you load an image into a program and decode it...
by Dr. Owns | May 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Regression Discontinuity Design: How It Works and When to Use It You’re an avid data scientist and experimenter. You know that randomisation is the summit of Mount Evidence Credibility, and you also know that when you can’t randomise, you resort to observational data...
