Event Type  Date  Description  Course Materials  

Lecture  Jan 5  Probability Review; Basic Text Processing 
[Probability Slides]
[Gaussian Distribution Sample Demo] [Stanford CS229 Probability Review Notes] [Basic Text Processing Slides] [Text Processing Demo & Notes] 

Lecture  Jan 7  Linear Algebra Review; Edit Distance 
[Linear Algebra Review Slides]
[Stanford CS229 Linear Algebra Review Notes] [Edit Distance Slides] [Edit Distance Demo] 

Lecture  Jan 12  Linear Algebra, Multivariable Calculus 
[Linear Algebra Slides]
[Multivariable Calculus Slides] 

Lecture  Jan 14  Linear Regression 
[Linear Regression Slides]
[Stanford CS229 Linear Regression Notes] [MIT Linear Algebra Video Lectures] 

Lecture  Jan 19  Logistic Regression, Language Modeling 
[Logistic Regression Slides]
[Stanford CS229 Logistic Regression Notes] [Language Modeling Slides] 

Lecture  Jan 21  Spelling Correction, Statistical Decision Theory 
[Spelling Correction Slides]
[Statistical Decision Theory Slides] 

Lecture  Jan 26  Generative and Discrimative, Naive Bayes 
[Generative v. Discriminative Slides]
[Stanford CS229 Gen v. Dis Notes] [Naive Bayes Slides] Learning about Datasets Conversations 

Guest Lecture: Kevin Malta  Jan 28  Decision Trees and Ensemble Methods 
[Decision Trees Slides]
[Ensemble Methods Slides] [Kevin's Slides] 

CLASS CANCELLED  Feb 2  CLASS CANCELLED  CLASS CANCELLED  
Lecture  Feb 4  Information Retrieval 
[Information Retrieval Slides 1]
[Information Retrieval Slides 2] 

Lecture  Feb 9  Word Semantics  [Word Semantics Slides]  
Lecture  Feb 11  Optimization  [Optimization Slides]  
Lecture  Feb 16  Hidden Markov Models  [HMM Slides]  
Lecture  Feb 18  Support Vector Machines 
[SVM Slides]
[Stanford CS229 SVM Notes] [SVM Demo] 

Lecture  Feb 23  Word Embeddings: word2vec, GloVe  [Word Embeddings Slides]  
Lecture  Feb 25  Perceptron / FFNN / MLP  [Neural Nets Slides]  
Lecture  Mar 1  BackProp / Convolutional Neural Network  
Guest Lecture: Luca Foschini  Mar 3  Medical Machine Learning 
[Behavioral Phenotyping of Digital Health Tracker Data]
[Fully Bayesian Unsupervised Disease Progression Modeling] 

Lecture  Mar 8  Course Evaluation and Next Steps  [Course Evaluation]  
Lecture  Mar 10  Good Luck on Finals!  [Going Forward] 