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 !		.