# Master Complete Statistics For Computer Science – I

Course In Chance & Statistics Essential For Machine Studying, Synthetic Intelligence, Knowledge Science, Neural Community

## What you’ll be taught

• Random Variables
• Discrete Random Variables and its Chance Mass Perform
• Steady Random Variables and its Chance Density Perform
• Cumulative Distribution Perform and its properties and software
• Particular Distribution
• Two – Dimensional Random Variables
• Marginal Chance Distribution
• Conditional Chance Distribution
• Impartial Random Variables
• Perform of One Random Variable
• One Perform of Two Random Variables
• Two Features of Two Random Variables
• Statistical Averages
• Measures of Central Tendency (Imply, Median, Mode, Geometric Imply and Harmonic Imply)
• Mathematical Expectations and Moments
• Measures of Dispersion (Quartile Deviation, Imply Deviation, Customary Deviation and Variance)
• Skewness and Kurtosis
• Anticipated Values of Two-Dimensional Random Variables
• Linear Correlation
• Correlation Coefficient and its properties
• Rank Correlation Coefficient
• Linear Regression
• Equations of the Strains of Regression
• Customary Error of Estimate of Y on X and of X on Y
• Attribute Perform and Second Producing Perform
• Bounds on Chances

## Requirements

• Information of Utilized Chance
• Information of Calculus

## Who this course is for:

• Present Chance and Statistics college students
• College students of Machine Studying, Synthetic Intelligence, Knowledge Science, Computer Science, Electrical Engineering , as Statistics is the prerequisite course to Machine Studying, Knowledge Science, Computer Science and Electrical Engineering
• Anybody who desires to review Statistics for enjoyable after being away from college for some time.

Enroll Now

Note: Udemy is testing its coupon service and they have temporarily limited some countries. I Hope Udemy Solves this issue as early as possible, Until then you can use this simple trick to get courses for Free. For More Check this Watch Video