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Machine Learning

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

By: Laura Ellicott
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Decks in this class (14)

Supervised Learning
What is supervised learning 1,
Can dimensions be different types 2,
What is the hypothesis set 3
10  cards
Logistic Regression
What is logistic regression 1,
What is the formula for logit 2,
What are the boundaries for class...
8  cards
Likelihood
What is conditional likelihood 1,
What is joint conditional likelih...,
Why is likelihood used 3
8  cards
Gradient Descent
What is gradient descent 1,
What is the process for gradient ...,
What is the equation for gradient...
18  cards
Non-linear Transformation
Why do we use non linear transfor...,
What is an example of the basis e...,
Can we use linear models in this ...
12  cards
Support Vector Machines (SVMs)
What are support vectors 1,
What is a consequence of having a...,
Why do we maximise the margin 3
13  cards
Lagrange Relaxation
Why do we remove w and b in lagra...,
What is the lagrange multiplier 2,
What is the notation for the lagr...
17  cards
Dual SVMs
What is the lagrange relaxation f...,
What is the primal formulation fo...,
What is the dual formulation for ...
15  cards
Kernels
Can we use kernels as similarity ...,
What does the similarity metric n...,
What are the mercer conditions 3
8  cards
Non-numeric Values
How can we convert non numeric da...,
What kernel can we use for sets 2,
What can we use for strings 3
4  cards
Soft Margin SVMs
What causes overfitting 1,
Why would we misclassify data 2,
What are slack variables 3
16  cards
Sequential Minimisation Optimisation (SMO)
What is a reason why we might not...,
What is sequential minimisation o...,
What do we use to decide what pro...
11  cards
Linear Regression
What is linear regression 1,
What is the formula for linear re...,
Why can we use linear and non lin...
12  cards
Bayesian Regression
What are frequentist paradigms 1,
What are bayesian paradigms 2
2  cards

More about
Machine Learning

  • Class purpose General learning

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