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Plan Szkolenia
- 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
14 godzin