Does GGSIPU have a course in Unsupervised Learning?

How VSET teaches Unsupervised Learning

Unsupervised learning finds structure in data that carries no labels — groupings, densities, latent factors and compressed representations. It is what you reach for when labelling is expensive or the categories are not known in advance. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Unsupervised methods sit beside the supervised material in the machine learning content published at learn.engineering.vips.edu.
• Clustering and dimensionality reduction, the two most used unsupervised families, are both part of the same ML foundation.
• The embedding and vector database material in the curriculum is the modern, representation-learning face of the same idea.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.