Introduction to Machine Learning
10-701, Fall 2015Eric Xing, Ziv Bar-Joseph School of Computer Science, Carnegie Mellon University |

## Problem Sets

There will be 5 problem sets during the semester, in addition to a final project. Problem sets will consist of both theoretical and programming problems.

- Homework 1 (updated), LaTeX source (updated), Solutions
- Homework 2 (version 1.0), LaTeX source, Starter code, Solutions, Reference code
- Homework 3 (version 1.4), LaTeX source, SVR dataset, Solutions
- Homework 4 (version 1.0), LaTeX source, K-means data, AdaBoost data, Solutions, adaboost.py, kmeans.m, kmeans++.m, sampler.m
- Midterm, Solutions
- Homework 5 (version 1.1), LaTeX source, Solutions

© 2015 Eric Xing @ School of Computer Science, Carnegie Mellon University

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