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
Read moreIntroduction to Probability Theory
A probability refers to the percentage chance that something will or will not happen. Probability of any event is a number between 0 and 1. If we are sure that the event will occur, we say that its probability is 100% or 1. But if we are sure that the event will not occur, we say that its probability is 0. Note that the probability measures the amount of uncertainty. The concept of probability is required for understanding of communication systems and many other real-life subjects.
Various topics covered under this category are:
- Introduction to Probability Theory
- Random Variables and Random Distribution
- Discrete and Continuous Density Functions
- Stationary and Ergodicity
- Representation of Random processes
- Power Spectral Estimation and Stochastic Filter Design
Poisson Distribution | Probability and Stochastic Process
Poisson distribution is applicable to discrete random variables. A discrete random variable X is said to follow Poisson distribution if
Read moreConditional Probability | Joint Probability
Conditional probability If A and B are two events in a sample space S, the conditional probability of A given
Read moreCumulative Distribution Function | CDF | Probability Theory
A function describing possible values of a random variable X and their associated probabilities is known as probability distribution. Probability
Read moreProbability distributions | Probability Theory
A function describing possible values of a random variable X and their associated probabilities is known as probability distribution. Probability
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 morePermutations and Combinations | Probability Theory
Permutations Permutations talk about order of things. Permutations are used in specifying lists (order matters). Examples: That means selecting ‘r’
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 moreSample Space | Probability Theory
SAMPLE SPACE Sample space can be either discrete or continuous depending on the type of random experiment. Discrete sample space
Read moreTypes of Events | Probability Theory
Types of events Event is a subset of the sample space. So an event may be a single element or
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 more