36:07CMPS 460 | Machine Learning | S22 | Session 2.b | Limits of Learning (II)
A 36-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 2.b | Limits of Learning (II)”.
Tamer Elsayed
8.85K subscribers on YouTube
Shorts, livestreams, trailers and promos are never listed. Unless a curator approved this channel in full, only individually picked videos appear.
36:07
42:33CMPS 460 | Machine Learning | S22 | Session 3.a | kNN (I)
A 43-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 3.a | kNN (I)”.
47:30CMPS 460 | Machine Learning | S22 | Session 3.b | kNN (II)
A 48-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 3.b | kNN (II)”.
36:43CMPS 460 | Machine Learning | S22 | Session 3.c | K-means Clustering (I)
A 37-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 3.c | K-means Clustering (I)”.
28:25CMPS 460 | Machine Learning | S22 | Session 3.d | K-means Clustering (II)
A 28-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 3.d | K-means Clustering (II)”.
42:28CMPS 460 | Machine Learning | S22 | Session 4.a | Perceptron (I)
A 42-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 4.a | Perceptron (I)”.
36:00CMPS 460 | Machine Learning | S22 | Session 4.b | Perceptron (II)
A 36-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 4.b | Perceptron (II)”.
46:48CMPS 460 | Machine Learning | S22 | Session 4.c | Perceptron (III)
A 47-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 4.c | Perceptron (III)”.
41:30CMPS 460 | Machine Learning | S22 | Session 4.d | Perceptron (IV)
A 42-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 4.d | Perceptron (IV)”.
39:59CMPS 460 | Machine Learning | S22 | Session 5.a | Practical Issues (Dealing with Features I)
A 40-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.a | Practical Issues (Dealing with Features I)”.
39:26CMPS 460 | Machine Learning | S22 | Session 5.b | Practical Issues (Dealing with Features II)
A 39-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.b | Practical Issues (Dealing with Features II)”.
41:48CMPS 460 | Machine Learning | S22 | Session 5.c | Practical Issues (Evaluation I)
A 42-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.c | Practical Issues (Evaluation I)”.
44:12CMPS 460 | Machine Learning | S22 | Session 5.d | Practical Issues (Evaluation II)
A 44-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.d | Practical Issues (Evaluation II)”.
27:32CMPS 460 | Machine Learning | S22 | Session 5.e | Practical Issues (Cross Validation)
A 28-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.e | Practical Issues (Cross Validation)”.
42:50CMPS 460 | Machine Learning | S22 | Session 5.f | Practical Issues (Debugging Learning Algorithms)
A 43-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 5.f | Practical Issues (Debugging Learning Algorithms)”.
35:25CMPS 460 | Machine Learning | S22 | Session 6.a | Learning from Imbalanced Data
A 35-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 6.a | Learning from Imbalanced Data”.
45:19CMPS 460 | Machine Learning | S22 | Session 6.b | Multi-class Classification
A 45-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 6.b | Multi-class Classification”.
50:33CMPS 460 | Machine Learning | S22 | Session 7.a | Linear Models (Surrogate Loss Functions)
A 51-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 7.a | Linear Models (Surrogate Loss Functions)”.
39:03CMPS 460 | Machine Learning | S22 | Session 7.b | Linear Models (Regularization)
A 39-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 7.b | Linear Models (Regularization)”.
39:14CMPS 460 | Machine Learning | S22 | Session 7.c | Linear Models (Gradient Descent I)
A 39-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 7.c | Linear Models (Gradient Descent I)”.
29:50CMPS 460 | Machine Learning | S22 | Session 7.d | Linear Models (Gradient Descent II)
A 30-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 7.d | Linear Models (Gradient Descent II)”.
45:33CMPS 460 | Machine Learning | S22 | Session 7.e | Linear Models (Gradient Descent III)
A 46-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 7.e | Linear Models (Gradient Descent III)”.
40:55CMPS 460 | Machine Learning | S22 | Session 8.a | Probabilistic Modeling (Probability Review)
A 41-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 8.a | Probabilistic Modeling (Probability Review)”.
54:16CMPS 460 | Machine Learning | S22 | Session 8.b | Probabilistic Modeling (Naive Bayes I)
A 54-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 8.b | Probabilistic Modeling (Naive Bayes I)”.
31:12CMPS 460 | Machine Learning | S22 | Session 8.c | Probabilistic Modeling (Naive Bayes II)
A 31-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 8.c | Probabilistic Modeling (Naive Bayes II)”.
36:29CMPS 460 | Machine Learning | S22 | Session 8.d | Probabilistic Modeling (Naive Bayes III)
A 36-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 8.d | Probabilistic Modeling (Naive Bayes III)”.
44:16CMPS 460 | Machine Learning | S22 | Session 8.e | Probabilistic Modeling (Logistic Regression)
A 44-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 8.e | Probabilistic Modeling (Logistic Regression)”.
43:37CMPS 460 | Machine Learning | S22 | Session 9.a | Neural Networks (Architecture)
A 44-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.a | Neural Networks (Architecture)”.
41:40CMPS 460 | Machine Learning | S22 | Session 9.b | Neural Networks (Representational Power)
A 42-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.b | Neural Networks (Representational Power)”.
49:33CMPS 460 | Machine Learning | S22 | Session 9.c | Neural Networks (Backpropagation I)
A 50-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.c | Neural Networks (Backpropagation I)”.
44:46CMPS 460 | Machine Learning | S22 | Session 9.d | Neural Networks (Backpropagation II)
A 45-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.d | Neural Networks (Backpropagation II)”.
44:50CMPS 460 | Machine Learning | S22 | Session 9.e | Neural Networks (Training I)
A 45-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.e | Neural Networks (Training I)”.
45:44CMPS 460 | Machine Learning | S22 | Session 9.f | Neural Networks (Training II)
A 46-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.f | Neural Networks (Training II)”.
45:43CMPS 460 | Machine Learning | S22 | Session 9.g | Neural Networks (Training III)
A 46-minute video from Tamer Elsayed: “CMPS 460 | Machine Learning | S22 | Session 9.g | Neural Networks (Training III)”.
1:07:18Lecture 10 | Fitting Models I | CMPS 497 Deep Learning | Fall 2024
A 67-minute video from Tamer Elsayed: “Lecture 10 | Fitting Models I | CMPS 497 Deep Learning | Fall 2024”.
42:06Lecture 11 | Fitting Models II | CMPS 497 Deep Learning | Fall 2024
A 42-minute video from Tamer Elsayed: “Lecture 11 | Fitting Models II | CMPS 497 Deep Learning | Fall 2024”.