Machine Learning at Universität Düsseldorf

Flashcards and summaries for Machine Learning at the Universität Düsseldorf

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Study with flashcards and summaries for the course Machine Learning at the Universität Düsseldorf

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Describe the Connection between BigData and Machine Learning.

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Name four subclasses of machine learning.

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What is meant with classification?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What is meant with regression?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What is  clustering?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Dram the Machine Learning Matrix

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What means PCA?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Name the tools of machine learning with each one example.

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What differs deductive from plausible  reasoning?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

What means "modus ponens", what "modus tollens"?

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Name Kolmogorov axioms.

Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Write down Bayes Rule and label all parts of it.

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Exemplary flashcards for Machine Learning at the Universität Düsseldorf on StudySmarter:

Machine Learning

Describe the Connection between BigData and Machine Learning.
In modern world there is a huge amount of labeled and unlabeled data one want to abstract programms from. Machine learning is used for automated data analysis

Machine Learning

Name four subclasses of machine learning.
-supervised learning
-semi-supervised learning
-unsupervised learning
-reinforcement learning

Machine Learning

What is meant with classification?
Classification means that data is associated to finite predefined classes and there is a correcting instance that ensures correct association.

Machine Learning

What is meant with regression?
Means that the data is labeled to continuous functions, that shows the distribution of values e.g. prediction of prices

Machine Learning

What is  clustering?
This is building up classes or finite cluster without a correcting instance even without predefined beliefs or classes

Machine Learning

Dram the Machine Learning Matrix
              supv.                  unsupv.

disc.     classif.               cluster.

cont.    regress.              dim.reduct.

Machine Learning

What means PCA?
PCA is a dimensionality reduction process e.g. Eigenfaces.

Machine Learning

Name the tools of machine learning with each one example.
-probability theory e.g bayes rule
-linear algebra e.g y=ax+n
-optimization e.g minimize f(x)
-computer science e.g programming

Machine Learning

What differs deductive from plausible  reasoning?
Deductive reasoning is derived from mathematical logic , while plausible reasoning describes that a Possibility can become more or less plausible instead of true or false only.

Machine Learning

What means "modus ponens", what "modus tollens"?
modus ponens: A=>B, A=1 => B=1

modus tollens: A=>B, B=0 => A=0

Machine Learning

Name Kolmogorov axioms.
- 0 <= p(A) <= 1
- P(Omega) = 1
- p(A) + p(B) = p(A,B) if A and B are mutually exclusive

Machine Learning

Write down Bayes Rule and label all parts of it.
p(H|data) = p(data|H)p(H)/p(data)

posterior belief = likelyhood * prior belief / evidence

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Mikrobiologie

Professionelle Softwareentwicklung II

Experimentelle Mechanik

Algorithmen und Datenstrukturen

Lineare Algebra I

Allgemeine und Anorganische Chemie

Programmierung

Analysis I

Rechnernetze

Allgemeine psychologie

Evolution

Ökologie

fachausdruecke oeko

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