CSE 40625: Machine Learning (Spring 2017)

Collection of resources for Notre Dame CSE Machine Learning course (CSE 40625).

Assignments

1. Perceptron
2. Logistic Regression
3. Gaussian Naïve Bayes
4. Single-Layer Neural Network
5. Multi-Layer Neural Network

Datasets

• Optdigits

References

• Y. S. Abu-Mostafa, M. Magdon-Ismail, and H-T Lin. "Learning from Data." AMLBook, 2012.
• T. Hastie, R. Tibshirani, and J. Friedman. "The Elements of Statistical Learning." Springer, 2009.
• C. M. Bishop. "Pattern Recognition and Machine Learning." Springer, 2006.
• T. Mitchell. "Machine Learning." McGraw Hill, 1997.