Click on a tag to see relevant list of lectures.
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Introduction | Slide | Numpy Tutorial | video | |
Algebra Review | Slide | Useful Math | video | |
Linear Regression | Slide | LR more + ELS Ch3.2 | video | |
supervised classification | Slide | Error Metrics | video | |
ProbReview + MLE | Slide | MLE / MLE code | video | |
Review | Slide | [Cheatsheets] | video | |
Friday Final Project Presentations | Slide | [deep2reproduce] |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Linear Regression | Slide | LR more + ELS Ch3.2 | video | |
Optimization for LR | Slide | Useful SGD | video | |
Nonlinear Regression | Slide | NonLinear + API + ELS Ch5 | video | |
Linear Prediction with Regularization | Slide | More Ridge | video | |
Lasso and Elastic Net | Slide | Elastic paper | video | |
Feature Selection and Model Selection | Slide | API + ELS Ch3.4 and Ch3.3 | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
KNN and Theory | Slide | Useful BiasVar | video | |
SVM | Slide | More SVM | video | |
SVM, Kernel | Slide | VC Theory | video | |
SVM, Dual | Slide | SMO + Paper SMO | video | |
Logistic and NN | Slide | code + compare classifiers | video | |
NN and Deep Learning | Slide | MLP video | ||
NN and Deep Learning | Slide | CNN | video | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video | |
Generative Classification | Slide | video | ||
Gaussian BC | Slide | Paper Discr vs. Genera | video | |
NaiveBC on Text | Slide | Multinomial MLE | video | |
DecisionTree and Bagging | Slide | xgboost | video | |
RF and Boosting | Slide | xgboost | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video | |
Clustering Hier | Slide | compare Hier clusterings | video | |
Clustering Partition | Slide | compare clusterings | video | |
Clustering GMM | Slide | EM primer | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
KNN and Theory | Slide | Useful BiasVar | video | |
Bias Variance Tradeoff | Slide | ESL Ch7 | video | |
SVM | Slide | More SVM | video | |
SVM, Kernel | Slide | VC Theory | video | |
SVM, Dual | Slide | SMO + Paper SMO | video | |
DecisionTree and Bagging | Slide | xgboost | video | |
Clustering GMM | Slide | EM primer | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Logistic and NN | Slide | code + compare classifiers | video | |
NN and Deep Learning | Slide | MLP video | ||
NN and Deep Learning | Slide | CNN | video | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Feature Selection and Model Selection | Slide | API + ELS Ch3.4 and Ch3.3 | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
SVM | Slide | More SVM | video | |
SVM, Kernel | Slide | VC Theory | video | |
SVM, Dual | Slide | SMO + Paper SMO | video | |
Logistic and NN | Slide | code + compare classifiers | video | |
NN and Deep Learning | Slide | MLP video | ||
NN and Deep Learning | Slide | CNN | video | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video | |
RF and Boosting | Slide | xgboost | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
DecisionTree and Bagging | Slide | xgboost | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video | |
Generative Classification | Slide | video | ||
Gaussian BC | Slide | Paper Discr vs. Genera | video | |
NaiveBC on Text | Slide | Multinomial MLE | video | |
Clustering Partition | Slide | compare clusterings | video | |
Clustering GMM | Slide | EM primer | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Linear Regression | Slide | LR more + ELS Ch3.2 | video | |
SVM | Slide | More SVM | video | |
Logistic and NN | Slide | code + compare classifiers | video | |
RF and Boosting | Slide | xgboost | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Nonlinear Regression | Slide | NonLinear + API + ELS Ch5 | video | |
KNN and Theory | Slide | Useful BiasVar | video | |
Bias Variance Tradeoff | Slide | ESL Ch7 | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Nonlinear Regression | Slide | NonLinear + API + ELS Ch5 | video | |
Linear Prediction with Regularization | Slide | More Ridge | video | |
Lasso and Elastic Net | Slide | Elastic paper | video | |
Feature Selection and Model Selection | Slide | API + ELS Ch3.4 and Ch3.3 | video | |
KNN and Theory | Slide | Useful BiasVar | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Nonlinear Regression | Slide | NonLinear + API + ELS Ch5 | video | |
Logistic and NN | Slide | code + compare classifiers | video | |
NN and Deep Learning | Slide | MLP video | ||
NN and Deep Learning | Slide | CNN | video | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Optimization for LR | Slide | Useful SGD | video | |
Linear Prediction with Regularization | Slide | More Ridge | video | |
Lasso and Elastic Net | Slide | Elastic paper | video | |
Feature Selection and Model Selection | Slide | API + ELS Ch3.4 and Ch3.3 | video | |
SVM | Slide | More SVM | video | |
SVM, Kernel | Slide | VC Theory | video | |
SVM, Dual | Slide | SMO + Paper SMO | video |
Title | Lecture | Extra Content |
Notes | Video |
---|---|---|---|---|
Linear Prediction with Regularization | Slide | More Ridge | video | |
Lasso and Elastic Net | Slide | Elastic paper | video | |
Feature Selection and Model Selection | Slide | API + ELS Ch3.4 and Ch3.3 | video | |
SVM | Slide | More SVM | video | |
SVM, Kernel | Slide | VC Theory | video | |
SVM, Dual | Slide | SMO + Paper SMO | video |