CourseForMe

Applied Machine Learning Training Course

NobleProgUS
NobleProgUS

Detailed information

Type:Courses
Method:Onsite
Duration:14 Hour
Total hours of lesson:7
Students per class:6

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Course program

Naive Bayes
Multinomial models
Bayesian categorical data analysis
Discriminant analysis
Linear regression
Logistic regression
GLM
EM Algorithm
Mixed Models
Additive Models
Classification
KNN
Bayesian Graphical Models
Factor Analysis (FA)
Principal Component Analysis (PCA)
Independent Component Analysis (ICA)
Support Vector Machines (SVM) for regression and classification
Boosting
Ensemble models
Neural networks
Hidden Markov Models (HMM)
Space State Models
Clustering

Course location

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