Все публикации

0:45:44

CMPS 460 | Machine Learning | S22 | Session 9.f | Neural Networks (Training II)

0:44:50

CMPS 460 | Machine Learning | S22 | Session 9.e | Neural Networks (Training I)

0:44:46

CMPS 460 | Machine Learning | S22 | Session 9.d | Neural Networks (Backpropagation II)

0:49:33

CMPS 460 | Machine Learning | S22 | Session 9.c | Neural Networks (Backpropagation I)

0:41:40

CMPS 460 | Machine Learning | S22 | Session 9.b | Neural Networks (Representational Power)

0:43:37

CMPS 460 | Machine Learning | S22 | Session 9.a | Neural Networks (Architecture)

0:44:16

CMPS 460 | Machine Learning | S22 | Session 8.e | Probabilistic Modeling (Logistic Regression)

0:36:29

CMPS 460 | Machine Learning | S22 | Session 8.d | Probabilistic Modeling (Naive Bayes III)

0:31:12

CMPS 460 | Machine Learning | S22 | Session 8.c | Probabilistic Modeling (Naive Bayes II)

0:54:16

CMPS 460 | Machine Learning | S22 | Session 8.b | Probabilistic Modeling (Naive Bayes I)

0:40:55

CMPS 460 | Machine Learning | S22 | Session 8.a | Probabilistic Modeling (Probability Review)

0:45:33

CMPS 460 | Machine Learning | S22 | Session 7.e | Linear Models (Gradient Descent III)

0:29:50

CMPS 460 | Machine Learning | S22 | Session 7.d | Linear Models (Gradient Descent II)

0:39:14

CMPS 460 | Machine Learning | S22 | Session 7.c | Linear Models (Gradient Descent I)

0:39:03

CMPS 460 | Machine Learning | S22 | Session 7.b | Linear Models (Regularization)

0:50:33

CMPS 460 | Machine Learning | S22 | Session 7.a | Linear Models (Surrogate Loss Functions)

0:45:19

CMPS 460 | Machine Learning | S22 | Session 6.b | Multi-class Classification

0:35:25

CMPS 460 | Machine Learning | S22 | Session 6.a | Learning from Imbalanced Data

0:42:50

CMPS 460 | Machine Learning | S22 | Session 5.f | Practical Issues (Debugging Learning Algorithms)

0:27:32

CMPS 460 | Machine Learning | S22 | Session 5.e | Practical Issues (Cross Validation)

0:44:12

CMPS 460 | Machine Learning | S22 | Session 5.d | Practical Issues (Evaluation II)

0:41:48

CMPS 460 | Machine Learning | S22 | Session 5.c | Practical Issues (Evaluation I)