42:50CMPS 460 | Machine Learning | S22 | Session 5.f | Practical Issues (Debugging Learning Algorithms)Tamer Elsayed831 viewsView & Download
41:48CMPS 460 | Machine Learning | S22 | Session 5.c | Practical Issues (Evaluation I)Tamer Elsayed1.2K viewsView & Download
39:26CMPS 460 | Machine Learning | S22 | Session 5.b | Practical Issues (Dealing with Features II)Tamer Elsayed1.2K viewsView & Download
27:32CMPS 460 | Machine Learning | S22 | Session 5.e | Practical Issues (Cross Validation)Tamer Elsayed937 viewsView & Download
39:47CMPS 460 | Machine Learning | S22 | Session 1.b | Course outline, Learning & Types of MLTamer Elsayed3.4K viewsView & Download
45:43CMPS 460 | Machine Learning | S22 | Session 9.g | Neural Networks (Training III)Tamer Elsayed775 viewsView & Download
41:40CMPS 460 | Machine Learning | S22 | Session 9.b | Neural Networks (Representational Power)Tamer Elsayed517 viewsView & Download
39:59CMPS 460 | Machine Learning | S22 | Session 1.d | Decision Trees (II)Tamer Elsayed2.4K viewsView & Download
28:25CMPS 460 | Machine Learning | S22 | Session 3.d | K-means Clustering (II)Tamer Elsayed984 viewsView & Download
42:28CMPS 460 | Machine Learning | S22 | Session 4.a | Perceptron (I)Tamer Elsayed1.7K viewsView & Download
45:33CMPS 460 | Machine Learning | S22 | Session 7.e | Linear Models (Gradient Descent III)Tamer Elsayed340 viewsView & Download
40:55CMPS 460 | Machine Learning | S22 | Session 8.a | Probabilistic Modeling (Probability Review)Tamer Elsayed709 viewsView & Download
44:50CMPS 460 | Machine Learning | S22 | Session 9.e | Neural Networks (Training I)Tamer Elsayed500 viewsView & Download
39:14CMPS 460 | Machine Learning | S22 | Session 7.c | Linear Models (Gradient Descent I)Tamer Elsayed430 viewsView & Download
31:12CMPS 460 | Machine Learning | S22 | Session 8.c | Probabilistic Modeling (Naive Bayes II)Tamer Elsayed851 viewsView & Download
36:00CMPS 460 | Machine Learning | S22 | Session 4.b | Perceptron (II)Tamer Elsayed1.1K viewsView & Download
39:44CMPS 460 | Machine Learning | S22 | Session 1.e | Formalizing the Learning ProblemTamer Elsayed2.4K viewsView & Download
36:43CMPS 460 | Machine Learning | S22 | Session 3.c | K-means Clustering (I)Tamer Elsayed1.2K viewsView & Download
45:19CMPS 460 | Machine Learning | S22 | Session 6.b | Multi-class ClassificationTamer Elsayed608 viewsView & Download