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

Decks in this class (12)

lecture 1: introduction to machine learning
Definition of machine learning,
Types of learning,
Types of supervised learning
8  cards
lecture 2: data engineering
Types of data,
What is continuous data,
What is discrete data
15  cards
lecture 3: intro to probability and statistics
What is statistical causality cau...,
What is correlation,
What is simpsons paradox
15  cards
lecture 4: systems of linear equations
Definition of matrix inverse,
The adjugate adjoint of matrix a is,
The i j entry of cofactor matrix is
10  cards
lecture 5: least squares and linear regression
What is a function,
What kinds of arguments can scala...,
What does a scalar valued functio...
16  cards
lecture 6: ridge regression and polynomial regression
Learning of a vectored function i...,
Using matrix notation what is the...,
The formulas for w are the same a...
14  cards
lecture 7: Over-fitting and bias/variance trade-off
Review what is the main aim of re...,
What is the number one rule for t...,
What is overfitting
14  cards
lecture 8: optimisation and gradient descent
In general an objective function ...,
What is gradient descent,
What are some possible convergenc...
9  cards
lecture 9: decision trees and random forest
What can decision trees be compar...,
How do we make predictions using ...,
What are the 3 types of nodes
16  cards
lecture 10: performance issues
We have learnt the building block...,
What are the common partitioning ...,
What is the purpose of splitting ...
6  cards
lecture 11: K-means clustering
Recap k means clustering is a typ...,
What is the goal of an unsupervis...,
The absence of labels on the data...
11  cards
lecture 12: Neural Networks
What is a neural network nn,
What is multilayer perception mlp,
Different activation functions ca...
14  cards

More about
EE2211

  • Class purpose General learning

Learn faster with Brainscape on your web, iPhone, or Android device. Study Abigail Wilkins's EE2211 flashcards now!

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?

Make Flashcards