Machine Learning og Data Mining
Eksamen
Læs teori
Lav eksamensspørgsmål
Projekt
Gennemgå
Notér sp
1: sp TA
2: sp Ali
PCA sp
Cross-validation (CV)
Hold out method
K-fold (at foretrække ved store datamængder)
Leave-one-out
Classification
Regression
Del i Dtrain Dtest
Unsupervisered (clustering)
Supervised
K-means
GMM
Assosiations Rule
Evaluation method
Jaccard Similarity
Rand Index
Outlier detection
ard()
KDE: Kernel Density Estimation
Plan
Ekstra blok til kladde
2 PCer
Mad
Slides
Scripts
R
Python
Maple
A4-cheat sheet
Oral Exam
1 PCA
2 Decision Trees
3 Linear & logistic Regression & ANN
4 Bayes & Naïve Bayes
5 K-means & Hierachical clustering
6 GMM
7 CV: Forward, backwards selection
Probability
Multivariate Normal
Bernoulli
Beta
Categorical