Master Complete Statistics For Computer Science - II
Master Complete Statistics For Computer Science - II
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 Complete Statistics For Computer Science - II" to study them.
After learning about special probability distribution, the second half of this course is devoted for data analysis through inferential statistics which is also referred to as statistical inference.
Technically speaking, the methods of statistical inference help in generalizing the results of a sample to the entire population from which the sample is drawn.
This 150+ lecture course includes video explanations of everything from Special Probability Distributions and Sampling Distribution, and it includes more than 85+ examples (with detailed solutions) to help you test your understanding along the way. "Master Complete Statistics For Computer Science - II" 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
Central Limit Theorem
Hypotheses Testing
Large Sample Test - Tests of Significance for Large Samples
Small Sample Test - Tests of Significance for Small Samples
Chi - Square Test - Test of Goodness of Fit
Course In Probability & Statistics Important For Machine Learning, Artificial Intelligence, Data Science, Neural Network
Url: View Details
What you will learn
- Binomial Distribution
- Poisson Distribution
- Geometric Distribution
Rating: 4.5
Level: All Levels
Duration: 25.5 hours
Instructor: Shilank Singh
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
About US
The display of third-party trademarks and trade names on this site does not necessarily indicate any affiliation or endorsement of hugecourses.com.
View Sitemap