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