by Dr. Owns | Feb 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Correlation does not imply causation. It turns out, however, that with some simple ingenious tricks one can, potentially, unveil causal relationships within standard observational data, without having to resort to expensive randomised control trials. This post is...
by Dr. Owns | Feb 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ago, data science has surged in popularity within the tech community. Each year, we witness increasingly powerful...
by Dr. Owns | Feb 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Working in Data Science, it can be hard to share insights from complex datasets using only static figures. All the facets that describe the shape and meaning of interesting data are not always captured in a handful of pre-generated figures. While we have powerful...
by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
As data continues to grow in importance and become more complex, the need for skilled data engineers has never been greater. But what is data engineering, and why is it so important? In this blog post, we will discuss the essential components of a functioning data...
by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In this fifth part of my series, I will outline the steps for creating a Docker container for training your image classification model, evaluating performance, and preparing for deployment. AI/ML engineers would prefer to focus on model training and data engineering,...
by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In this third part of my series, I will explore the evaluation process which is a critical piece that will lead to a cleaner data set and elevate your model performance. We will see the difference between evaluation of a trained model (one not yet in production), and...
