by Dr. Owns | Jan 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
How to building reliable, scalable and robust AI applications— explained in five minutes.Continue reading on Towards Data Science » How to building reliable, scalable and robust AI applications— explained in five minutes.Continue reading on Towards Data Science...
by Dr. Owns | Jan 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
A Step-by-Step Guide to Generating Synthetic Data for Training AI ModelsPhoto by Lina Trochez on UnsplashIf you have ever trained a segmentation model for a new project, you probably know it’s not about the model. It’s about the data.Collecting images is often...
by Dr. Owns | Jan 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Why understanding parameters is critical to building robust modelsContinue reading on Towards Data Science » Why understanding parameters is critical to building robust modelsContinue reading on Towards Data Science » artificial-intelligence, machine-learning,...
by Dr. Owns | Jan 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Here’s how to optimize the delivery routes, from theory to code.Continue reading on Towards Data Science » Here’s how to optimize the delivery routes, from theory to code.Continue reading on Towards Data Science » business-analysis, hands-on-tutorials, python,...
by Dr. Owns | Jan 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Lag columns can significantly boost your model’s performanceContinue reading on Towards Data Science » Lag columns can significantly boost your model’s performanceContinue reading on Towards Data Science » machine-learning, time-series-analysis, data-science,...
by Dr. Owns | Jan 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Examining the expressive capacity of Graph Attention NetworksImage by the authorIn graph representation learning, neighborhood aggregation is one of the most well-studied and investigated areas, among which attention-based methods largely remain state-of-the-art....
