Intro & Maths Flashcards
What are the first 4 topics in the course?
Association Rules
Clustering
Graphical Models
Logistic Regression
What are the last 5 topics in the course?
Classification trees
Evaluation of a classifier
Ensemble methods
Support vector machines
What are the two main tasks of ML?
Extract patterns from a collection of input variables.
Predict a target variables by describing the generating process.
How is experience gained in ML?
By learning from the data (D).
What are the two less well known categories of learning?
Semi-supervised learning.
Reinforcement learning.
What is a performance measure?
A technique or indicator of the ability of the ML algorithm.
What is a ML “model”?
A statistical construction used to describe the data, perform predictions, and make decisions.
In unsupervised learning…
There is no target variable, only inputs are available.
In supervised learning…
There is a target variable (Y) and a collection of inputs.
What is the mathematical defintion of the dataset in supervised learning?
D : (X,Y)
D - the dataset.
X - the input variables
Y - vector of output variable for each observation.
How is the estimated value defined in ML?
Yhat = f(X|thetahat)
Yhat - estimated target
X - input variables
thetahat - estimated parameters
