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Fundamentals of Probability for Machine Learning

3 Chapters 11 Lessons Easy

About this course

In this course, the probability theory is described. You will learn what is necessary for Machine Learning from probability theory.
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Course Structure

Preface 1 Lesson

Introduction

The introduction to the probability.

Fundamentals 6 Lessons

Probability Axioms

Math Background

Random Variables

Conditional probabilities

Bayes’ Rule

Independence

Discrete Random Variables 4 Lessons

Probability Mass Function

Expectation of a Discrete Variables

Variance of a Discrete Variables

Some Discrete Probability Distributions

Pen
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