[CPSC 340] CNN applications, Deep Learning Software
48:38
[CPSC 340] CNN applications, Deep Learning Software
[CPSC 340] Multi-Dimensional Scaling
42:41
[CPSC 340] Multi-Dimensional Scaling
[CPSC 340] PCA: Training
49:53
[CPSC 340] PCA: Training
[CPSC 340] PCA: Intuition
50:04
[CPSC 340] PCA: Intuition
[CPSC 340] Linear Classifiers: Multi-Class
48:50
[CPSC 340] Linear Classifiers: Multi-Class
[CPSC 340] L2 Regularization
49:33
[CPSC 340] L2 Regularization
[CPSC 340] Clustering
47:23
[CPSC 340] Clustering
CPSC 330 Lecture 23: model deployment & conclusion
51:18
CPSC 330 Lecture 23: model deployment & conclusion
CPSC 330 Lecture 17: time series data
1:14:19
CPSC 330 Lecture 17: time series data
CPSC 330 Lecture 22: ethics & responsible use
38:21
CPSC 330 Lecture 22: ethics & responsible use
CPSC 330 Lecture 16: outliers
1:06:27
CPSC 330 Lecture 16: outliers
CPSC 330 Lecture 9: ensembles
1:00:37
CPSC 330 Lecture 9: ensembles
CPSC 330 bonus segment: combing tables
13:22
CPSC 330 bonus segment: combing tables
CPSC 330 Lecture 11: prediction intervals, feature importances
1:07:42
CPSC 330 Lecture 11: prediction intervals, feature importances
CPSC 330 Lecture 10: linear regression, scoring metrics for regression
58:14
CPSC 330 Lecture 10: linear regression, scoring metrics for regression
CPSC 330 Lecture 21: credences & visualizations
57:27
CPSC 330 Lecture 21: credences & visualizations
CPSC 330 Lecture 14: distances and neighbours
1:13:23
CPSC 330 Lecture 14: distances and neighbours
CPSC 330 Lecture 7: imputation, scaling numeric features, `ColumnTransformer`
1:13:12
CPSC 330 Lecture 7: imputation, scaling numeric features, `ColumnTransformer`
CPSC 330: Lecture 5 supplement: Bayesian hyperparameter optimization
10:32
CPSC 330: Lecture 5 supplement: Bayesian hyperparameter optimization
CPSC 330 Lecture 5: pipelines & hyperparameter optimization
1:04:22
CPSC 330 Lecture 5: pipelines & hyperparameter optimization
CPSC 330 Lecture 1: course intro
1:05:29
CPSC 330 Lecture 1: course intro
CPSC 330 Lecture 19: clustering
1:10:33
CPSC 330 Lecture 19: clustering
CPSC 330 Lecture 6: overfitting the validation set & encoding categorical variables
1:09:15
CPSC 330 Lecture 6: overfitting the validation set & encoding categorical variables
CPSC 330 Lecture 4: logistic regression, word counts, `predict_proba`
1:03:25
CPSC 330 Lecture 4: logistic regression, word counts, `predict_proba`
CPSC 330 Lecture 13: neural networks & computer vision
1:12:17
CPSC 330 Lecture 13: neural networks & computer vision
CPSC 330 Lecture 12: feature selection
31:34
CPSC 330 Lecture 12: feature selection
CPSC 330 Lecture 2: decision trees
53:04
CPSC 330 Lecture 2: decision trees
CPSC 330 Lecture 8: scoring metrics for classification
1:07:09
CPSC 330 Lecture 8: scoring metrics for classification
CPSC 330 Lecture 15: natural language processing
1:05:10
CPSC 330 Lecture 15: natural language processing
CPSC 330 Lecture 18: survival analysis
1:12:04
CPSC 330 Lecture 18: survival analysis