Master Special Probability Distributions in Statistics

[mitsumi]

Master Special Probability Distributions in Statistics
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 4.52 GB
Duration: 11 hours | Genre: eLearning Video | Language: English
Learn everything about Normal, Binomial, Poisson, Exponential and many more Probability Distributions in this course.

What you'll learn

    Binomial Distribution
    Poisson Distribution
    Geometric Distribution
    Hypergeometric Distribution
    Uniform or Rectangular Distribution
    Exponential or Negative Exponential Distribution
    Erlang or General Gamma Distribution
    Weibull Distribution
    Normal or Gaussian Distribution

Requirements

    Knowledge of Applied Probability
    Knowledge of Random Variable and Probability Distribution
    Knowledge of Statistical Averages
    Knowledge of Calculus

Description

As it turns out, there are some specific distributions that are used over and over in practice for e.g.  Normal Distribution, Binomial Distribution, Poisson Distribution, Exponential Distribution etc.

There is a random experiment behind each of these distributions.  Since these random experiments model a lot of real life phenomenon, these special distribution are used in different applications like Machine Learning, Neural Network, Data Science etc.

That is why they have been given a special names and we devote a course "Master Special Probability Distributions in Statistics" to study them.

This 80+ lecture course includes video explanations of everything from Special Probability Distributions, and it includes more than 45+ examples (with detailed solutions) to help you test your understanding along the way. "Master Special Probability Distributions in Statistics" is organized into the following sections:

    Introduction

    Binomial Distribution

    Poisson Distribution

    Geometric Distribution

    Hypergeometric Distribution

    Uniform or Rectangular Distribution

    Exponential or Negative Exponential Distribution

    Erlang or General Gamma Distribution

    Weibull Distribution

    Normal or Gaussian Distribution

Who this course is for:

    Current Probability and Statistics students
    Students of Machine Learning, Data Science, Computer Science, Electrical Engineering , as Statistics is the prerequisite course to Machine Learning, Data Science, Computer Science and Electrical Engineering
    Anyone who wants to study Statistics and its Special Probability Distribution for fun after being away from school for a while.
         

               

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