Chapter 5 Flashcards
1
Q
What is a stochastic variable?
A
Notational shortcuts that makes it easier to define binary compositions
2
Q
How do we get probability distributions in ML?
A
Estimate from data matrix
3
Q
What is the bernoulli distribution?
A
For binary variables describes the probabilty of the event occuring based on a number - theta
4
Q
What is theta in bernoulli?
A
The probability that b = 1
5
Q
When is the categorical dist. used?
A
For multiple outcomes for calculating the probability of each outcome.
6
Q
What is a parameter transformation?
A
Modelling theta as a distribution instead of just a number.
