Machine Learning Decision Tree – Solved Problem (ID3 algorithm)
Note for the reader: Solving this Decision tree problem took 20 pages. as it is difficult to produce all the
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Conditional Probability | Joint Probability
Conditional probability If A and B are two events in a sample space S, the conditional probability of A given
Read moreVariance of Random Variable | Probability theory
For discrete RV X, the variance is written as Var( X) = E[(X-m)2] where m = Expected value of X
Read moreMean square value of Random Variable
To study a random variable, we use different measures like: Expectation, Variance, Standard Deviation and Covariance etc. Homework
Read moreExpectation of Random Variable X
To study a random variable, we use different measures like: Expectation, Variance, Standard Deviation and Covariance etc. Expectation of RV:
Read moreDiscrete versus Continuous Random Variables
A random variable may be discrete or continuous. Discrete Random Variable Continuous Random Variable Discrete Random Variable: If X can take only
Read moreRandom Variable | Probability Theory
Variable Variable is a symbol that can take on any number of specified set of values. Use capital letter to represent
Read moreConditionl Probability | Probability theory
Concept of Probability A probability refers to the percentage chance that something will or will not happen. Probability of any
Read moreSolved problems | Probability Theory
HOMEWORK PROBLEMS Determine probability P for each of the following events: (a) A King, Ace, Jack or Queen of diamonds
Read moreConcept of Probability | Communication Systems
A probability refers to the percentage chance that something will or will not happen. Probability of any event is a
Read moreIntroduction to Probability Theory
Probability A probability refers to the percentage chance that something will or will not happen. Probability of any event is a number
Read moreInformation theory and Coding basics
Information theory Information theory is theoretical part of communication developed by American mathematician Shannon. It deals with mathematical modelling and
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