Click on a tag to see relevant list of lectures.
Title | Lecture | Notes | Video |
---|---|---|---|
Introduction | Slide | Numpy Tutorial | M2 / M3 |
Algebra Review | Slide | Khanacademy Math + CMU study note | scikit-learn tutorials |
Scikit-learn | Slide | basic tutorial + scikit-learn code examples | How install |
Machine Learning in a Nutshell | Slide | two modes running example | M1 / M2 / M3 |
Linear Regression | Slide | linear regression coderun + regression on COVID19 | M1 / M2 / M3 / M4 |
ProbReview + MLE | Slide | Error Metrics | M1 |
Prob Review | Slide | M1 + M2 | |
Review | Slide | [ML Cheatsheets] | video + HW1-3 Key HW4-key + Quiz-keys |
Title | Lecture | Notes | Video |
---|---|---|---|
Linear Regression | Slide | linear regression coderun + regression on COVID19 | M1 / M2 / M3 / M4 |
GD and SGD for LR | Slide | SGD Jupyter notebook + numpy linalg | M1 + M2 |
LR with basis | Slide | RBF regression notebook | M1 + M2 |
Workflow for model selection | Slide | hyperpara select notebook + flow API | M1 |
Linear Prediction with Regularization | Slide | notebook regularized RBF regression | M1 + M2 + Extra M3 |
Lasso and Elastic Net | Slide | Elastic paper | Extra M3 |
Title | Lecture | Notes | Video |
---|---|---|---|
KNN and Theory | Slide | kNN notebook | M1 + M2 |
Logistic and NN | Slide | code + compare classifiers | M1 + M2 |
NN and Deep Learning | Slide | DNN Cheatsheets | M1+ M2+ M3 |
CNN | Slide | Keras notebook + FastAI Cov19-Notebook | M1+ M2 |
Generative Classification | Slide | text NBC notebook | M1 + M2 + (Extra M3 ) |
NaiveBC on Text | Slide | text NBC notebook | M1 + M2 + (Extra M3 + M4) |
Gaussian GBC | Slide | Paper Discr vs. Genera | Extra M4 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
SVM, Kernel | Slide | Practical Guide | M1 + M2 + M3 + (Extra M4) |
DecisionTree and Bagging | Slide | M1 + M2 + M3 | |
RF and Boosting | Slide | xgboost | M1 + M2 + M3 + M4 |
SVM, Dual | Slide | SMO | Extra M4 |
convex optim with Dual | Slide | VC Theory | |
More on Boosting | Slide | ||
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
Recent deep learning on Text | Slide | Keras Notebook on DNN text | M1 + M2 + M3 |
Clustering Hier | Slide | compare Hier clusterings | M1 + M2 |
Clustering Partition | Slide | compare clusterings | M1 + M2 |
Clustering GMM | Slide | (Extra M3) | |
Clustering GMM | Slide | EM primer | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
KNN and Theory | Slide | kNN notebook | M1 + M2 |
Bias Variance Tradeoff | Slide | notebook validation and learning curves | M1 + M2 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
SVM, Kernel | Slide | Practical Guide | M1 + M2 + M3 + (Extra M4) |
DecisionTree and Bagging | Slide | M1 + M2 + M3 | |
SVM, Dual | Slide | SMO | Extra M4 |
convex optim with Dual | Slide | VC Theory | |
More on Boosting | Slide | ||
Reinforcement Learning | Slide | ||
Clustering GMM | Slide | (Extra M3) | |
Clustering GMM | Slide | EM primer |
Title | Lecture | Notes | Video |
---|---|---|---|
Logistic and NN | Slide | code + compare classifiers | M1 + M2 |
NN and Deep Learning | Slide | DNN Cheatsheets | M1+ M2+ M3 |
CNN | Slide | Keras notebook + FastAI Cov19-Notebook | M1+ M2 |
Recent deep learning on Text | Slide | Keras Notebook on DNN text | M1 + M2 + M3 |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
PCA, Feature Selection | Slide | Great PCA Video + PCA Notebook | M1 |
Feature Selection | Slide | S3-QuizReview + ELS Ch3.4 and Ch3.3 + API | (Extra M2 + M3 ) |
Title | Lecture | Notes | Video |
---|---|---|---|
Logistic and NN | Slide | code + compare classifiers | M1 + M2 |
NN and Deep Learning | Slide | DNN Cheatsheets | M1+ M2+ M3 |
CNN | Slide | Keras notebook + FastAI Cov19-Notebook | M1+ M2 |
Recent deep learning on Text | Slide | Keras Notebook on DNN text | M1 + M2 + M3 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
SVM, Kernel | Slide | Practical Guide | M1 + M2 + M3 + (Extra M4) |
RF and Boosting | Slide | xgboost | M1 + M2 + M3 + M4 |
SVM, Dual | Slide | SMO | Extra M4 |
convex optim with Dual | Slide | VC Theory | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
DecisionTree and Bagging | Slide | M1 + M2 + M3 | |
RF and Boosting | Slide | xgboost | M1 + M2 + M3 + M4 |
More on Boosting | Slide |
Title | Lecture | Notes | Video |
---|---|---|---|
Gaussian GBC | Slide | Paper Discr vs. Genera | Extra M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
Recent deep learning on Text | Slide | Keras Notebook on DNN text | M1 + M2 + M3 |
Generative Classification | Slide | text NBC notebook | M1 + M2 + (Extra M3 ) |
NaiveBC on Text | Slide | text NBC notebook | M1 + M2 + (Extra M3 + M4) |
Gaussian GBC | Slide | Paper Discr vs. Genera | Extra M4 |
Clustering Partition | Slide | compare clusterings | M1 + M2 |
Clustering GMM | Slide | (Extra M3) | |
Clustering GMM | Slide | EM primer | |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
Linear Regression | Slide | linear regression coderun + regression on COVID19 | M1 / M2 / M3 / M4 |
Logistic and NN | Slide | code + compare classifiers | M1 + M2 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
Title | Lecture | Notes | Video |
---|---|---|---|
LR with basis | Slide | RBF regression notebook | M1 + M2 |
Workflow for model selection | Slide | hyperpara select notebook + flow API | M1 |
KNN and Theory | Slide | kNN notebook | M1 + M2 |
Bias Variance Tradeoff | Slide | notebook validation and learning curves | M1 + M2 |
Title | Lecture | Notes | Video |
---|---|---|---|
LR with basis | Slide | RBF regression notebook | M1 + M2 |
Workflow for model selection | Slide | hyperpara select notebook + flow API | M1 |
Linear Prediction with Regularization | Slide | notebook regularized RBF regression | M1 + M2 + Extra M3 |
KNN and Theory | Slide | kNN notebook | M1 + M2 |
Lasso and Elastic Net | Slide | Elastic paper | Extra M3 |
Feature Selection | Slide | S3-QuizReview + ELS Ch3.4 and Ch3.3 + API | (Extra M2 + M3 ) |
Title | Lecture | Notes | Video |
---|---|---|---|
LR with basis | Slide | RBF regression notebook | M1 + M2 |
Workflow for model selection | Slide | hyperpara select notebook + flow API | M1 |
Logistic and NN | Slide | code + compare classifiers | M1 + M2 |
NN and Deep Learning | Slide | DNN Cheatsheets | M1+ M2+ M3 |
CNN | Slide | Keras notebook + FastAI Cov19-Notebook | M1+ M2 |
Recent deep learning on Text | Slide | Keras Notebook on DNN text | M1 + M2 + M3 |
Quick survey of recent deep learning | Slide | DNN Cheatsheets | M1 + M2 + M3 + M4 |
Title | Lecture | Notes | Video |
---|---|---|---|
GD and SGD for LR | Slide | SGD Jupyter notebook + numpy linalg | M1 + M2 |
Linear Prediction with Regularization | Slide | notebook regularized RBF regression | M1 + M2 + Extra M3 |
Lasso and Elastic Net | Slide | Elastic paper | Extra M3 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
SVM, Kernel | Slide | Practical Guide | M1 + M2 + M3 + (Extra M4) |
SVM, Dual | Slide | SMO | Extra M4 |
convex optim with Dual | Slide | VC Theory | |
More on Boosting | Slide |
Title | Lecture | Notes | Video |
---|---|---|---|
Reinforcement Learning | Slide |
Title | Lecture | Notes | Video |
---|---|---|---|
Linear Prediction with Regularization | Slide | notebook regularized RBF regression | M1 + M2 + Extra M3 |
Lasso and Elastic Net | Slide | Elastic paper | Extra M3 |
SVM | Slide | PCA+SVM Notebook | M1 + M2 |
SVM, Kernel | Slide | Practical Guide | M1 + M2 + M3 + (Extra M4) |
SVM, Dual | Slide | SMO | Extra M4 |
convex optim with Dual | Slide | VC Theory |
Title | Lecture | Notes | Video |
---|---|---|---|
Reinforcement Learning | Slide | ||
deep RL Gym | Slide | Invited Speaker |
Title | Lecture | Notes | Video |
---|---|---|---|
Scikit-learn | Slide | basic tutorial + scikit-learn code examples | How install |
pyTorch + Keras | Slide | S3-L0-pytorch | |
Huggingface Invited Lecture | Slide | S3-L0-pytorch + FastAI Cov19-Notebook | see slack |