Foundations of Linear Algebra , PCA and SVD with Applications

Greetings !!!

We are organizing a meetup on April 06, 2019. The session will be centered around Foundations of Linear Algebra , PCA and SVD with Applications.

Join our Telegram group for all session related discussions: https://t.me/joinchat/KE5cqRXAkKbCHkvA75BGAw

Prerequisites:

1. Interest in machine learning
2. Basics of Matrix Theory
3. Basics of Python

This session will be delivered by Harikrishnan N B, Research Associate at National Institute of Advanced Studies. His research interests include chaos theory inspired learning, information theory, machine learning and signal processing.

Please find the agenda below:

10:00 AM to 10:30 AM - Introduction to Vector Space

10:30 AM to 11:00 AM - Application of Linear Regression from Vector Space point of view

11:00 AM to 11:30 AM - Principal Component Analysis(PCA)

11:30 AM - 12:00 PM - Break

12:00 PM to 12:30 PM - Singular Value Decomposition(SVD)

12:30 PM to 01:30 PM - applications of PCA and SVD in image processing, cryptography and datascience

Everyone is expected to bring their own laptops. Presentation Slides and github repo will be shared in the session.