Metrics in Data Science: Beyond the Basics
This article covers the fundamental metrics everyone learns early on, and then pushes further into the advanced territory where models meet reality: image segmentation, object detection, and model drift over time. That’s where evaluation becomes not only technical, but mission-critical.
Supervised Learning vs. Unsupervised Learning
Supervised learning is a machine learning approach where models are trained on labeled data, making it ideal for tasks like image classification. In contrast, unsupervised learning leverages statistical models to analyze unlabeled data, uncovering hidden patterns and structures within datasets.
What is Synthetic Data?
Synthetic data is one of the most useful data-driven AI approaches