IDS 575 Statistical Models and Methods for Business Analytics

Edition: Fall 2017

Document version: Oct 16 2017


The goal of this class is to cover the foundations of modern statistics and machine learning complementing the data mining focus of IDS 572. In other words, the objective of the class is to bring students up to speed with the requisite background as well as expose them to the key theoretical underpinnings of modern analytics. We will do so through the lens of statistical machine learning.


Textbook and Materials



Lectures (tentative)

  1. 09/02 : Supervised Learning: Linear Models and Least Squares, k-Nearest Neighbor Methods (video)
  2. 09/09 : Towards Regression: Statistical Decision Theory, Curse of Dimensionality, Linear Regression, Categorical Variables, Interaction Terms (video)
  3. 09/16 : Regression I: Bias-variance Trade-off, Subset Selection, Cross-Validation (video)
  4. 09/23 : Regression II: Ridge Regression, LASSO (Least Absolute Shrinkage and Selection Operator) (video)
  5. 09/30 : Classification, Model Assessment and Selection: Linear Discriminant Analysis, Logistic Regression, AIC, BIC and Validation (video)
  6. 10/07 : The Bootstrap and Maximum Likelihood Estimation (video)
  7. 10/21 : Expectation Maximization and Sampling (Markov Chain Monte Carlo) (video)
  8. 10/28 : Tree Methods, Adaboost and Gradient Boosting (video)
  9. 11/4 : Random Forests, Multivariate Adaptive Regression Splines and Support Vector Machines (video)
  10. 11/11 : Introduction to Unsupervised Learning: Clustering (video)
  11. 11/18 : Unsupervised Learning: Principal Component and Factor Analysis (video)
  12. 12/02 : Time Series Analysis (video)


  1. 09/09: Assignment 1 out. Due on 09/22
  2. 09/23: Assignment 2 out. Due on 10/06
  3. 10/28: Assignment 3 out. Due on 11/10
  4. 11/11: Assignment 4 out. Due on 11/22


  1. 10/14: Midterm Exam (same venue as lectures, and during class hours)
  2. 12/09: Final Exam (same venue as lectures, and during class hours)


  1. 10/20: Project first report due (proposal)
  2. 11/17: Project mid report due
  3. 12/01: Project final report due

Note: Submission deadline for assignments and project reports is before 2359hrs on the concerned day. Use Blackboard for uploads. Here is a Google Calendar that reflects the same information.





Miscellaneous Information

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