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Introduction to Machine Learning (ML)

This class was created by Brainscape user Jedidja Marsman. Visit their profile to learn more about the creator.

By: Jedidja Marsman
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Decks in this class (8)

Week 1
Wat zijn de 5 onderdelen van een ...,
Wanneer is ml toepasbaar op een p...,
What is h
40  cards
Week 2
Probability,
If b1 b2 b3 bn is a part of event...,
What does the addition rule say
19  cards
Week 3
Wat is x in het knikker vazen model,
Wat is nu uitgedrukt in x en n,
Geef de hoeffding inequality
35  cards
Week 4
What does the out of sample error...,
What does the in sample error mea...,
Generalization error
49  cards
Week 5
M,
Sample complexity,
Parameter epsilon
23  cards
Week 6
Overfitting,
Deterministic noise,
Stochastic noise
36  cards
Week 7
What is the form of each h in h i...,
Give the formula for the out of s...,
What is forward propagation
15  cards
Week 8
Wat geeft de foutmaat e aan in he...,
Geeft een grote h meer kans op ov...,
Welk algorithme werkt niet door e...
9  cards

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Introduction to Machine Learning (ML)

  • Class purpose General learning

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