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.
Exploring Microsoft Research's Data Formulator, the concept-binding paradigm, and how its AI agents remove the tidy-data tax from visualization authoring.
Discussion of machine learning methods supervised, unsupervised, parametric, and non-parametric.
Learn how to apply K-Nearest Neighbors in customer segmentation, recommendation systems, fraud detection and more
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 and Bayesian Inference in Medical Diagnostics