Prerequistes Flashcards
A set of quantities or properties that describe an observation
Features
Usually paired with a set of features for use in supervised learning. Can be discrete or continuous
Labels
Pairs of features and labels
Examples
The number of features associated with a particular example
Dimensions
A feature vector which is list of features representing a particular example
Vector
An array of values usually consisting of multiple rows and columns
Matrix
An operator that flips a matrix over its diagonal
Matrix Transpose
A function with more than one variable/coefficient pair
Polynomial
Indicates how much the output of a function will change with respect to a change in its input
Derivative
How likely something is to occur can be independent like the roll of a die
Probability
A function that takes in an outcome and outputs the probability of that particular outcome occurring
Probability Distribution
A very common type of probability distribution which fits many real world observations; also called a normal distribution
Gaussian Distribution
A probability distribution in which each outcome is equally likely; rolling a normal six-sided for
Uniform Distribution
Models take in ???
Features
Cite the three types of observations?
Continuous
Categorical
Ordinal
