This class was created by Brainscape user Henry Triff.

By:

Decks in this class (17)

Classification and Machine Learning Evaluation
What is classification 1,
What is regression 2,
Define clustering 3
38  cards
Nearest Neighbours
What type of method is nearest ne...,
How does nearest neighbours work 2,
What data is required for nearest...
7  cards
Perceptron
What is the learning rate 1,
What is the effect of slower lear...,
What is the effect of a higher le...
23  cards
Perceptron Optimisation and Gradient Descent
Explain local optimisation 1,
Explain zero order gradient desce...,
Explain first order gradient desc...
24  cards
Multi-Layer Neural Network
What is the issue with a perceptr...,
What is a multi layer perceptron 2,
What is the simplest example of s...
10  cards
Back Propagation
What are the steps for training a...,
What is the process for the forwa...,
What is the mean squared error fu...
18  cards
Convalutional Neural networks
What a re convolutional neural ne...,
What are 4 applications of convol...,
What is the main feature that dif...
10  cards
Linear Models for Regression
What is regression 1,
What is the relationship between ...,
What are the 3 basis for finding ...
14  cards
Bias and Variance
What is variance 1,
What is the bias 2,
What happens with overfitting wit...
9  cards
Decision Trees
What is a decision tree 1,
What is the idea of entropy of in...,
What are the 2 equations fo the e...
20  cards
Support Vector Machines
How do you decide which resultant...,
What are the classes that we use ...,
How can we express that a point i...
19  cards
Constraint Optimisation - Equality Constraints
What is a constraint 1,
How do we embed the constraint in...,
We want to find the minim with re...
6  cards
Constraint Optimisation - Inequality Constraints
What are the two types of constra...,
What is the value of for inactive...,
What is the requirements for the ...
5  cards
Duality and support vector machines
0  cards
Kernels
What is a kernel 1,
Why are kernels useful 2,
What is the kernel for polynomials 3
6  cards
Markov Decision Process
What is reinforcement learning 1,
What are the 2 different phases o...,
In the following example what are...
53  cards
K-means
What type of learning method is k...,
What does an unsupervised learnin...,
What is clustering 3
7  cards

More about
COMP3611 - Machine Learning

  • School Unspecified
  • Program type Unspecified
  • Course Unspecified
  • Instructor Unspecified
  • Standards Unspecified

The creator of this class did not yet add a description for what is included in this class.

How studying works.

Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.

Add your own flashcards.

Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!

What's Brainscape anyway?

Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.

We use an adaptive study algorithm that is proven to help you learn faster and remember longer....

Looking for something else?

Machine Learning
  • 12 decks
  • 224 flashcards
  • 693 learners
Decks: Quiz 1, Quiz 2, Quiz 3, And more!
Learn Latin!
  • 30 decks
  • 2790 flashcards
  • 111 learners
Decks: Learn Latin Sampler, Vocab Enrichment 1, Vocab Enrichment 2, And more!