Date 
Lecture 
Slides 
Useful links 
HWs 





Feb 1 Monday 
Intro to ML concepts 
Intro, Lecture1_inked.pdf 
Murphy: Sec 1.11.3 

Feb 3 Wednesday 
Naive Bayes, MLE, MAP 
MLE_MAP_NaiveBayes, Lecture2_inked.pdf 
Bishop: Sec 2.12.3.6, 1.5, Mitchell Ch2 

Feb 8 Monday 
Naive Bayes, MLE, MAP 
Lecture3_inked.pdf 
BayesOptimalityProof 
HW1 out 
Feb 10 Wednesday 
Nonparametric methods 
Lecture4_inked.pdf, Nonparametrics 


Feb 15 Monday 
Information theory 
InformationTheory 


Feb 17 Wednesday 
Decision Trees, Linear regression 
DecisionTrees, LinearRegression 
Murphy: Sec 7.17.3 
HW1 due 
Feb 22 Monday 
Regularized linear regression, Logistic regression 
Lecture7a_inked.pdf, LogisticRegression, Lecture7b_inked.pdf 
Mitchell_Ch (Secs 35), On Discriminative and Generative Classifiers, Ng and Jordan, NIPS, 2001 (pdf) 

Feb 24 Wednesday 
Optimization for ML 
Optimization 


Mar 1 Monday 
Deep learning I 
Deep Learning 


Mar 3 Wednesday 
Deep learning II 
Representation & Sequence learning 


Mar 8 Monday 
Deep learning III 
Convolutional NNs, CNN_inked.pdf 
Goodfellow et al: Ch9 

Mar 10 Wednesday 
Best practices, Model selection 
ModelSel_BestPrac, ModelSel_inked.pdf 


Mar 15 Monday 
Function spaces, Duality 
duality.pdf 


Mar 17 Wednesday 
Duality in deep learning 
dualitygans.pdf 


Mar 22 Monday 
SVMs I 
SVM, SVM_inked.pdf 
Bishop: Sec 7.1.17.1.3, Sec 4.1.1, 4.1.2, Appendix E 

Mar 24 Wednesday 
SVMs II 
SVMduality&kernels, SVMduality_kernels_inked.pdf 
Bishop: Sec 6.1, 6.2, SVMdemo 

Mar 29 Monday 
FATE issues 



Mar 31 Wednesday 
Reinforcement learning I 
Policy Gradient 


Apr 5 Monday 
No class: Break day 



Apr 7 Wednesday 
Reinforcement learning II 



Apr 12 Monday 
Reinforcement learning III 



Apr 14 Wednesday 
Learning theory I 
PAC_theory, PAC_inked

Mitchell: Ch 7, Murphy: Sec 6.5.4 

Apr 19 Monday 
Learning theory II 
RademacherComplexity, Rademacher_inked 
Rademacher_Kernel 

Apr 21 Wednesday 
Hidden Markov Models 
HMM, HMM_inked 
Bishop: Ch 13, HMM and EM tutorial 

Apr 26 Monday 
Graphical models I 



Apr 28 Wednesday 
Graphical models II 



May 3 Monday 
Dimensionality reduction, PCA 
DimReduction, DimRed_inked 
Bishop: Ch12, KernelPCA 

May 5 Wednesday 
Clustering, Review 
Clustering, Clustering_inked 
Bishop: Sec 9.1,9.2 

