Beyond Tidy Data: How Microsoft Data Formulator Lets AI Reshape Your Way to a Chart
Exploring Microsoft Research's Data Formulator, the concept-binding paradigm, and how its AI agents remove the tidy-data tax from visualization authoring.
(Un)Supervised, (Non-)Parametric ML Methods
Discussion of machine learning methods supervised, unsupervised, parametric, and non-parametric.
Using K-Nearest Neighbors (KNN) in Business Settings
Learn how to apply K-Nearest Neighbors in customer segmentation, recommendation systems, fraud detection and more
Chatbot: Self-Trained vs. Out-of-the-Box Solutions
Explore the differences between self-trained and out-of-the-box chatbot solutions, and learn which one fits your business needs.
Understanding the Bayes-Optimal Classifier
Understanding the Bayes-Optimal Classifier and Bayesian Inference in Medical Diagnostics