Probability made easy: Learn Bayes Law
4.1 (7 ratings)
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Probability made easy: Learn Bayes Law

Learn Bayes Law
4.1 (7 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
964 students enrolled
Created by Dynamic Lectures
Last updated 1/2016
English
Current price: $10 Original price: $20 Discount: 50% off
1 day left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • solve any standard problem on conditional probability
View Curriculum
Requirements
  • you need to know the notions of a sample space and probability of events
Description

This course is a part in a series of courses that covers a complete course in probability theory taught in the US colleges.

If you take this course, you can count on my help. I will answer every single question you post on the discussion board.

If you are looking for an efficient way to learn notions of probability theory, I guarantee that this course is for you. In fact, I offer a 30 day money back guarantee.

In this course you will learn conditional probability, Bayes formula, and you will learn how to tell whether two (or more) events are independent or not. The notions of conditional probability and independence are at the heart of probability theory.

The course consists of

  • theoretic lectures and lectures with motivations, and
  • practice lectures

In general, practice lectures are marked as easy, intermediate and advanced. All lectures are accompanied with downloadable transcripts.


Who is the target audience?
  • college students who are taking a course in probabiltiy theory (it you consider a tutor - this course is definitely for you), and
  • college students who plan to take a course in probability
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Curriculum For This Course
Expand All 16 Lectures Collapse All 16 Lectures 01:19:02
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Start Here
1 Lecture 02:32
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Conditional probability
4 Lectures 28:37


Problem solving (easy)
12:05

Problem solving (intermediate)
08:48
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Bayes Law
4 Lectures 18:26
Bayes Law: Motivation and theory
06:40

Problem solving (easy): Flu problem
04:30

Problem solving (intermediate I)
03:09

Problem solving (intermediate II)
04:07
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Independent events
6 Lectures 28:27
Independent events: Motivations
04:06

Independent events: Definition
04:25

Problems solving (easy)
07:17

Problems solving (warning!)
04:00

Independence of three events
05:25

Independence of more than two events
03:14
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Thank you!
1 Lecture 00:00
Thank you!
1 page
About the Instructor
Dynamic Lectures
4.5 Average rating
27 Reviews
2,987 Students
6 Courses

I am a professional mathematician. As a mathematician I worked in US, Mexico, Japan, Canada and Germany. I am an author of 16 research papers published in internationally renowned journals.

I taught courses ranging from middle school to PhD level, including such high level courses as Topological Quantum Field Theory, Moduli spaces of Riemann curves, and Topological Surgery Theory.

What you may expect from me is a well structured course with clearly explained notions and theory.