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EE514/CS535 Machine Learning Homework 1 by Abdul Samad Nasir is a document available to read on EtoBox.

This document outlines Homework 1 for the Machine Learning course EE514/CS535, due on March 8, 2022, consisting of 6 problems worth a total of 100 marks. The problems cover topics such as the curse of dimensionality, Principal Component Analysis, least squares solutions, classifier evaluation, multivariate gradient descent, and weighted ridge regression. Students must submit their own hand-written solutions in a single PDF, with strict guidelines against copying.

Author
Abdul Samad Nasir
Language
EN