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

Decks in this class (13)

Kursusgang 1 (Introduction)
What is machine learning 1,
What are the different types of m...,
What is classification 3
15  cards
Kursusgang 2+3 (Bayesian decision theory) + (Parametric and nonparametric methods)
Explain bayes theorem and the for...,
What does the bayes classifier do 2,
What are the different models for...
19  cards
Kursusgang 4 (Dimensionality reduction)
What is the curse of dimensionali...,
Why do we want to reduce the dime...,
What are the two general methods ...
18  cards
Kursusgang 5 (Clustering)
What is clustering 1,
What is k means clustering 2,
Mathematically define k means clu...
14  cards
Kursusgang 6 (Linear discrimination)
How is the logistic sigmoid funct...,
How is the softmax function defin...,
How is linear regression defined 3
21  cards
Kursusgang 7 (Support vector machines)
What is a support vector machine 1,
What is a support vector 2,
In the linearly seperable case wh...
10  cards
Kursusgang 8 (Multilayer perceptrons)
What are the three key elements o...,
Write out the equation for feed f...,
What is a fully connected neural ...
13  cards
Kursusgang 9 (Deep learning and transfer learning)
What is deep learning 1,
What are the key models in neural...,
Why did deep learning become popu...
17  cards
Kursusgang 10 (Time series models)
Why use time series model 1,
What are some prominent examples ...,
What is a markov chain 3
14  cards
Kursusgang 11 (Graphical models)
What is a graphical model 1,
What is a bayesian network 2,
Why are bayesian networks useful 3
15  cards
Kursusgang 12 (Algorithm-independent machine learning)
What is the no free lunch theorem 1,
What is cross validation 2,
What is mixture of experts 3
10  cards
Kursusgang 13 (Reinforcement learning)
What is reinforcement learning 1,
Mathematically define reinforceme...,
What is a markov decision process 3
12  cards
Tidligere spørgsmål til eksamen
If you are given m data points an...,
Assume we have two equal vectors ...,
What target values are used in di...
3  cards

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Machine Learning

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