Learn to find structure in unlabeled data by dimensionality reduction and clustering

When and Where?

This workshop runs multiple times.

10AM IST, Saturday Mar 12th, 2022  Register

10AM IST, Saturday Mar 26th, 2022  Register

10AM IST, Saturday Apr 09th, 2022  Register

10AM IST, Saturday Apr 23rd, 2022  Register

Details and Outcomes

Machine learning works by making compressed representations of data. Unsupervised learning asks the question: is there any inherent structure in our data?

  1. Curse of Dimensionality and PCA
  2. Reduced Components
  3. Similarity
  4. Clustering


Dr. Raghu Meka

Raghu Meka is an Associate Professor of Computer Science at UCLA. He is broadly interested in complexity theory, learning and probability theory. He got his PhD at UT Austin under the (wise) guidance of David Zuckerman. After that, he spent two years in Princeton as a postdoctoral fellow at the Institute for Advanced Study with Avi Wigderson, and at DIMACS, at Rutgers. And after that, he spent an enjoyable year as a researcher at the Microsoft Research Silicon Valley Lab.