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Probability for data science

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

By: Giuliano Tedeschi
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Decks in this class (15)

Introduction to probability
What is probability,
Ingredients of random experiments,
Set
7  cards
Classical Probability
Uniform probability
3  cards
Conditional Probability
Conditional probability,
Remarks of conditional probability,
Properties of conditional probabi...
3  cards
Independence of events
Definition of independence of events
1  cards
Random Variables
Definition random variables,
Distribution of x,
Discrete random variable
20  cards
Distribution function
Definition distribution function,
General properties of the distrib...
2  cards
Continuous random variable
Definition continuous random vari...,
Theorem,
Properties of continuous random v...
9  cards
Random vectors and Joint distribution
Definition joint density,
Marginal densities theorem,
Independent random variables
10  cards
Continuous random vector
Continuous random vector definition,
Continuous random vector properties,
Continuous random vector expected...
4  cards
Conditional expectation
Loss function definition,
Conditional density definition,
Conditional expectation definition
5  cards
Sums of independent random variables and limit theorems
Convolution of p and py,
Gamma random variable,
Central limit theorem
7  cards
Discrete-time Markov chains
Markov chain definition,
Markov chain property,
Markov property
24  cards
Exponential distribution
Exponential distribution definition,
Exponential distribution when use it,
Exponential distribution properties
7  cards
Homogeneous Poisson Process
Counting processes definition,
Counting processes requirements,
Counting processes examples of co...
10  cards
Continuous-time Markov Chains
Continuous time markov chains def...,
Continuous time markov chains com...,
Continuous time markov chains con...
6  cards

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Probability for data science

  • Class purpose General learning

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