Udemy 100% Discount Coupon Code | Udemy Free Course | Udemy Free Coupon Code

Exclusively on DealsOnChat.com

Master Complete Statistics For Computer Science - I

Course In Probability & Statistics Important For Machine Learning, Artificial Intelligence, Data Science, Neural Network

Description

In today’s engineering curriculum, topics on probability and statistics play a major role, as the statistical methods are very helpful in analyzing the data and interpreting the results.

When an aspiring engineering student takes up a project or research work, statistical methods become very handy.

Hence, the use of a well-structured course on probability and statistics in the curriculum will help students understand the concept in depth, in addition to preparing for examinations such as for regular courses or entry-level exams for postgraduate courses.

In order to cater the needs of the engineering students, content of this course, are well designed. In this course, all the sections are well organized and presented in an order as the contents progress from basics to higher level of statistics.

As a result, this course is, in fact, student friendly, as I have tried to explain all the concepts with suitable examples before solving problems.

This 150+ lecture course includes video explanations of everything from Random Variables, Probability Distribution, Statistical Averages, Correlation, Regression, Characteristic Function, Moment Generating Function and Bounds on Probability, and it includes more than 90+ examples (with detailed solutions) to help you test your understanding along the way. "Master Complete Statistics For Computer Science - I" is organized into the following sections:

  • Introduction

  • Discrete Random Variables

  • Continuous Random Variables

  • Cumulative Distribution Function

  • Special Distribution

  • Two - Dimensional Random Variables

  • Random Vectors

  • Function of One Random Variable

  • One Function of Two Random Variables

  • Two Functions of Two Random Variables

  • Measures of Central Tendency

  • Mathematical Expectations and Moments

  • Measures of Dispersion

  • Skewness and Kurtosis

  • Statistical Averages - Solved Examples

  • Expected Values of a Two-Dimensional Random Variables

  • Linear Correlation

  • Correlation Coefficient

  • Properties of Correlation Coefficient

  • Rank Correlation Coefficient

  • Linear Regression

  • Equations of the Lines of Regression

  • Standard Error of Estimate of Y on X and of X on Y

  • Characteristic Function and Moment Generating Function

  • Bounds on Probabilities

If you don't want to miss any coupon, you should join our private Telegram Group !

Dealsonchat Udemy Edureka Telegram Group
Join the group now if you don't want to miss any coupon !

Join above Telegram Channels to get daily alerts on new coupon codes

Get Coupon Code
79 People Already Collected this Offer