CSE 7999: Machine Learning Qualification Exam Prep

Course Information
  • Instructor: Joonseok Lee, Seungyeon Kim
  • Time: M-F 11:00 - 12:00
  • Location: KACB 1305
  • Textbook
    • C. Bishop. Pattern Recognition and Machine Learning, Second Edition, Springer 2007.
    • T. Hastie et. al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, Springer 2009.
    • R. Sutton and A. Barto. Reinforcement Learning: An Introduction. The MIT Press 1998.
    • A. Gray. Computational Data Analysis, Fall 2009. Website Link
    • G. Lebanon. Computational Data Analysis, Fall 2010. Website Link
    • C. Isbell. Machine Learning, Spring 2011. Website Link
    • L. Song. Machine Learning and Data Mining II, Spring 2012. Website Link
  • Link to Qualifier Info
  • Link to Previous Exams

Schedule
Date Topic Presenter Readings
1/23 Mon Course Planning
1/24 Tue Intro to ML, Probability and Inference Seungyeon Kim Gray 1, 2
1/25 Wed Parametric and Nonparametric Estimation Seungyeon Kim Gray 3, 4
1/26 Thr Regression, Classification Seungyeon Kim Gray 5, 6
1/27 Fri SVM, Decision Trees, Clustering Seungyeon Kim Gray 8, 9
1/30 Mon PCA, ICA, Kalman Filters Seungyeon Kim Gray 10, 11
1/31 Tue HMM, Graphical Models Seungyeon Kim Gray 12, 13
2/1 Wed Kernels, SVM, Learning Theory Seungyeon Kim Gray 14, 15
2/2 Thr MLE, Bayesian vs. Frequentist Seungyeon Kim Gray 16
2/3 Fri Sample Reuse, Model Combination Seungyeon Kim Gray 17, 18
2/6 Mon Unconstrained Optimization Seungyeon Kim Gray 19
2/7 Tue Recess
2/8 Wed Unconstrained Linear Optimization Seungyeon Kim Gray 20
2/9 Thr Recess
2/10 Fri Recess
2/13 Mon Constrained Optimization, Inference in Graphical Models Seungyeon Kim Gray 21, 22
2/14 Tue Generalized N-body problems, Sampling, MCMC Seungyeon Kim Gray 23, 24
2/15 Wed Multinomial, Gaussian, Bias-Variance Decomposition Joonseok Lee Lebanon 1, 2
2/16 Thr WLLN, Central Limit Theorem, MLE Joonseok Lee Lebanon 3, 4
2/17 Fri Generative Classifiers, Practical Issues Joonseok Lee Lebanon 5, 6
2/20 Mon Exponential Family, Logistic Regression, Linear Regression Joonseok Lee Lebanon 7, 9
2/21 Tue Regularization Joonseok Lee Lebanon 10
2/22 Wed Previous Exam (CDA 2010) Joonseok Lee
2/23 Thr Previous Exam (CDA 2011) Joonseok Lee
2/24 Fri Previous Qualifying Exam Joonseok Lee
2/27 Mon Previous Qualifying Exam Joonseok Lee
2/28 Tue Previous Qualifying Exam Joonseok Lee
2/29 Wed Previous Qualifying Exam Joonseok Lee
3/1 Thr Previous Qualifying Exam Joonseok Lee
3/2 Fri Qualifying Exam