Honest thinking about technology decisions.

A capture from the Tulsa Zoo's Eagle exhibit. The eagle's in this exhibit are all injured and unable to care for themselves. Made with Sony A7rIII and

Accuracy and Trust in Machine Learning - are they mutually exclusive or can you have both when building machine learning models?

I’ve always wanted to get a photography like this (a road leading off into the distance). This isn’t quite what I had in mind, but its close. Captured in

Oklahoma isn't known for 'mountains' but there are a few areas in the state that are actually quite hilly and - officially - called mountains. The Wichita

Earlier this year, I made a trip out to Sedona Arizona. I hadn't been out there before and didn't have a lot of time to spend in the field with my camera,

Do you know what the big four machine learning risks are? Do you know how to mitigate these risks? If not, check out this article to learn more.

How much is bad data costing you? It could be very little - or it could be a great deal. In this article I give an example of what the cost of bad data really is.

There's lots of talk about Machine Learning & AI today, but what can you actually do with either? In this article I give a few examples of areas within organizations that can benefit from machine learning and AI.

Just because your machine learning / AI models (or whatever other type of models you build) look good on paper, there's no guarantee they will work in the real world.

A few weeks ago, I traveled to Sedona Arizona for a few days. While there, I was able to sneak out and get a few sunrise photos. Here's the first of a few

I'm regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success.

When working with classification and/or regression techniques, its always good to have the ability to 'explain' what your model is doing. Using Local Interpretable Model-agnostic Explanations (LIME), you now have the ability to quickly provide visual explanations of your model(s).

Mathias Lanni (Executive VP, Marketing – Velocidi), highlights how to improve Scrum Marketing Management using smartdata collection. Learn more about this process.

Are your machine learning models good enough? In this article, I provide some guidance to non-technical people on how to ask questions to better understand the machine learning process to answer 'is this machine learning model good enough?"

This is the fourth in a series of posts about using Forecasting Time Series data with Prophet. The other parts can be found here: Forecasting Time Series