Course Schedule and Notes

Lecture is on Mon. and Wed. (08/26/2015 to 12/08/2015) from 3PM - 4:45PM at - Mechanical Engr Bldg 341

The lecture schedule below is tentative and is continually subject to change; We will move at whatever pace we find comfortable.  

Index Date Assignments References Notes
L1 Wed - Aug. 26 Lecture 1 . Introduction/Logistics
L2 Mon - Aug. 31 Lecture 2 Handout Linear Algebra Review
SECTION I: Supervised Regression
L3 Wed - Sept. 2 Lecture 3 HW1 out; Linear Prediction
R Mon - Sept. 7 Labor Day . .
L4 Wed - Sept. 9 Lecture 4 Extra: Handout Optimization for Learning Linear Regression Model;
L5 Mon - Sept. 14 Lecture 5 . Nonlinear Prediction; Local Linear Prediction;
L6 Wed - Sept. 16 Lecture 6 HW1 due(@18) ; Linear Prediction with Regularization, Ridge, LASSO;
L7 Mon - Sept. 21 Lecture 7 HW2 out ; LASSO, Elastic Net; Review of Regression Section;
SECTION II: Supervised Classification
L8 Wed - Sept. 23 Lecture 8 . Support Vector Machine (SVM)
L9 Mon - Sept. 28 Lecture 9 Handout Support Vector Machine (SVM) and pratical guide of using SVM
L10 Wed - Sept. 30 Lecture 9 Cont.-Extra Support Vector Machine (SVM) - Extra: Dual Form
R Mon - Oct. 5 READING DAY HW2 due; .
L11 Wed - Oct. 7 Lecture 11 . Probability Review
L12 Mon - Oct. 12 Lecture 12
HW3 out; Project proposal due Naive Bayes Classifier for text categorization
L13 Wed - Oct. 14 Lecture 13 HW4-sample-midterm-questions Out; Empirical Prediction Error / Two NBC for text classification
L14 Mon - Oct. 19 Lecture 14 Handout of MLE Generative Bayes Classifiers
L15 Wed - Oct. 21 Lecture 15 . Discriminative vs. Generative / Logistic Regression
L16 Mon - Oct. 26 Lecture 16 . KNN / Bias-Variance Tradeoff
L17 Wed - Oct. 28 Lecture 17 Decision Tree / Ensemble
L18 Mon - Nov. 2 Lecture 18 Neural Network / Deep Learning / Backprop
SECTION III: Unsupervised Learning
L19 Wed - Nov. 4 Lecture 19 Project Midphase Report Due (@4th) PCA and EigenFace for Image-based Face Recognition
L20 Mon - Nov. 9 Lecture 20 Hierarchical clustering
L21 Wed - Nov. 11 Lecture 21 HW3 due (@12th) K-means Clustering / GMM-EM
L22 Mon - Nov. 16 Lecture 21 Review all topics so far
E Wed - Nov. 18 Going over HW4 in class HW5 out
E Mon - Nov. 23 Late Midterm In Class HW4 due (@20th)
R Wed - Nov. 25 Thanksgiving Holiday . .
L23 Mon - Nov. 30 Lecture 23 . more EM
L25 Wed - Dec. 2 Lecture 24: FeaSel ;
Lecture 25: BN ;
Lecture 26: HMM ;
. Feature Selection / Graphical Model / Bayesican Network / Hidden Markov Model
E Thur - Dec. 3 / Fri - Dec. 4 / Mon - Dec. 7 Final project presentations to the instructor team (Final Project presentation due);
HW5 due (@7th)
E Fri - Dec. 15 Final project report due ! .

For Reference: The official Academic Calendar at UVA Registrar.
For Reference: The UVA Official Holiday Schedule .