Innovaty Hub - Page 2 of 3 - Innovation through technology contributions

Data science commonly uses four primary data types, each with distinct properties and proc... Read More

Data science workflow example: this guide walks through framing the problem, preparing dat... Read More

Introduction to data science explains what it is, why it matters, and the end-to-end workf... Read More

Spectral clustering is an unsupervised learning algorithm used for clustering data points... Read More

Self-organizing maps (SOM) are topology-preserving neural networks that learn a low-dimens... Read More

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) groups points by dens... Read More

In unsupervised learning, Gaussian Mixture Models (GMM) are strong statistical models that... Read More

Hierarchical clustering groups data into nested clusters using agglomerative or divisive s... Read More

Introduction to K-Means Clustering K-means clustering is a centroid-based algorithm tha... Read More

Introduction to Unsupervised Learning Unsupervised learning is a type of machine learni... Read More