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Master Complete Statistics For Computer Science – I

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Requirements
Information of Utilized Chance
Information of Calculus

Description
In at this time’s engineering curriculum, matters on chance and statistics play a serious position, because the statistical strategies are very useful in analyzing the info and deciphering the outcomes.

When an aspiring engineering scholar takes up a mission or analysis work, statistical strategies turn into very helpful.

Therefore, using a well-structured course on chance and statistics within the curriculum will assist college students perceive the idea in depth, along with making ready for examinations akin to for normal programs or entry-level exams for postgraduate programs.

With a purpose to cater the wants of the engineering college students, content material of this course, are nicely designed. On this course, all of the sections are nicely organized and offered in an order because the contents progress from fundamentals to increased stage of statistics.

Because of this, this course is, actually, scholar pleasant, as I have tried to elucidate all of the ideas with appropriate examples earlier than fixing issues.

This 150+ lecture course consists of video explanations of every little thing from Random Variables, Chance Distribution, Statistical Averages, Correlation, Regression, Attribute Operate, Second Producing Operate and Bounds on Chance, and it consists of greater than 90+ examples (with detailed options) that can assist you check your understanding alongside the best way. “Master Complete Statistics For Computer Science – I” is organized into the next sections:

Introduction
Discrete Random Variables
Steady Random Variables
Cumulative Distribution Operate
Particular Distribution
Two – Dimensional Random Variables
Random Vectors
Operate of One Random Variable
One Operate of Two Random Variables
Two Features of Two Random Variables
Measures of Central Tendency
Mathematical Expectations and Moments
Measures of Dispersion
Skewness and Kurtosis
Statistical Averages – Solved Examples
Anticipated Values of a Two-Dimensional Random Variables
Linear Correlation
Correlation Coefficient
Properties of Correlation Coefficient
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 Operate and Second Producing Operate
Bounds on Chances
Who this course is for:
Present Chance and Statistics college students
College students of Machine Studying, Synthetic Intelligence, Information Science, Computer Science, Electrical Engineering , as Statistics is the prerequisite course to Machine Studying, Information Science, Computer Science and Electrical Engineering
Anybody who needs to check Statistics for enjoyable after being away from faculty for some time.

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