Monthly Archives: January 2017

Probability – Basic Lesson 4

Posted on January 16, 2017 by machinelearning1

In the previous lesson, we saw the definition of Expectation. Here the definition of Variance (and Standard Deviation) is given. Variance means that how much variability is in around its mean value (expected value) , and it can be written … Continue reading →

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Probability – Basic Lesson 3

Posted on January 16, 2017 by machinelearning1

Here I give an example for calculating Expectation and Variance for discrete random variables. The Expectation of a variable is the average value of a function under a probability and can be written as follows: in a continuous representation the … Continue reading →

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Probability – Basic Lesson 2

Posted on January 15, 2017 by machinelearning1

Check out my previous post on the four main rules of probability first and come back to this post to see a very nice example. Example: Consider we have two boxes a blue and a green, there are a number … Continue reading →

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Probability – Basic Lesson 1

Posted on January 15, 2017 by machinelearning1

Main rules of probability that make life easier. Consider two random variables and , we denote the probability of X occurring as . Also means that the probability of given has happened and it is called the marginal probability. If … Continue reading →

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