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COMP24111: Machine Learning

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

By: Anna L
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Decks in this class (11)

Chapter 1: Machine Learning Basics
Define machine learning 1,
What is a query 2,
What are the key stages of machin...
16  cards
Chapter 2: K Nearest Neighbours
Give the knn classification rule 1,
What are two distance measures 2,
Explain euclidean distance 3
14  cards
Chapter3: Machine Learning Experiments
Describe the accuracy of a classi...,
Describe the error of a classific...,
What is the problem with error an...
36  cards
Chapter 4: Machine Learning and Optimisation
What datatypes do we have in mach...,
What data containers do we have a...,
What data structures do we use wh...
25  cards
Chapter 5: Loss Functions
What is a loss function 1,
What are other names for loss fun...,
What do we do with the loss funct...
22  cards
Chapter 6: Optimisation
We want to optimise 1,
What is the optimisation theory 2,
Delta o w 3
19  cards
Chapter 7: Artificial Neural Networks
Give the three types of neural ne...,
How is the output of a neuron cre...,
What does an activation function ...
29  cards
Chapter 8: Support Vector Machines
Describe the idea of support vect...,
How do we get the plane in a line...,
How do we calculate the distance ...
23  cards
Chapter 8: Summary of Models
Give the advantages of knn 7 1,
Give the disadvantages of knn 5 2,
Give the advantages of regularise...
11  cards
Chapter 9: Cluster Analysis
What is cluster analysis 1,
Give the 3 similarity measures 2,
What are the key tasks of cluster...
26  cards
Chapter 10: Deep Learning
What is deep learning 1,
What is representation learning 2,
Give example representation learn...
16  cards

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COMP24111: Machine Learning

  • Class purpose General learning

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