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COMP34312 - Math in ML

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

By: Isabel Draper
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Decks in this class (11)

Topic 1: Loss functions
What is a target,
What is the basic model of the fu...,
What is k nn regression
39  cards
Topic 2: Empirical Risk Minimisation
What is f,
How is f related to,
What is
41  cards
Topic 3: Generalisation Bounds
What do generalisation bounds enable,
How do we estimate how bad the te...,
What is hoeffding s inequality in...
23  cards
Topic 4: The Bias-Variance Decomposition
What is the variance of a model,
What is the bias of a model,
What is a joint random variable
44  cards
Topic 5: Ensemble Methods
What does ensemble mean,
What is a committee,
What is the underlying principle ...
44  cards
Topic 6: Ensemble Theory
Bias variance diversity decomposi...,
What is diversity,
How does diversity help in ensembles
21  cards
Topic 7: Some Required Concepts In Mathematics
What is the notation if function ...,
W x,
What is lipschitzness
47  cards
Topic 8: Intro to Gradient Descent
What can we say about in gd,
Why is x0 0 in gd,
Where do we want xt to tend
10  cards
Topic 9: Understanding GD: Overparameterisation
When considering data points as f...,
What assumptions do we make about...,
What is an invertible matrix
18  cards
Topic 10: Rademacher Complexity: a measure of capacity
What is rademacher complexity,
What can be said about the space ...,
How can we define f in terms of t...
30  cards
Topic 11: Bounding Rademacher Complexity
What is massart s finite class lemma,
How can massarts lemma be applied...,
What is the jensens lemma v1
16  cards

More about
COMP34312 - Math in ML

  • Class purpose General learning

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