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LifestyleIntroduction To Applied Probability (Udemy.com)
Fundamental Course in Probability for Machine Learning, Data Science, Computer Science and Electrical Engineering
Created by: Shilank Singh
Last updated March 2025
What you will learn
- Basic Definitions related to Probability Theory
- Mathematical Definition of Probability
- Important Symbols and Results related to Probability Theory
- Conditional Probability
- Theorem of Total Probability
- Baye's Theorem
- Bernoulli's Trials
- Probability of Uncountable Uniform Spaces
How it compares
Against the other 127 rated Udemy courses in Math on CourseDuck:
- Rating3.9 out of 5among the lower-rated ones
- Reviews27#124 of 128 by number of reviews
- Length4.1 hoursshorter than 77% of them
- Last updatedMarch 2025earlier than 49% of them
Course Description
HOW INTRODUCTION TO APPLIED PROBABILITY IS SET UP TO MAKE COMPLICATED PROBABILITY AND STATISTICS EASY
This course deals with concepts required for the study of Machine Learning and Data Science. Statistics is a branch of science that is an outgrowth of the Theory of Probability. Probability & Statistics are used in Machine Learning, Data Science, Computer Science and Electrical Engineering.
This 35+ lecture course includes video explanations of everything from Fundamental of Probability, and it includes more than 35+ examples (with detailed solutions) to help you test your understanding along the way. Introduction To Applied Probability is organized into the following sections:
Introduction
Some Basic Definitions
Mathematical Definition of Probability
Some Important Symbols
Important Results
Conditional Probability
Theorem of Total Probability
Baye's Theorem
Bernoulli's Trials
Uncountable Uniform Spaces
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Instructor Details
- 3.9 Rating
27 Reviews
Shilank Singh
Hello students, I am Shilank Singh. I was born and raised in Mumbai, India. My interest in maths developed at an early age when I started attending pre-school. I attended Indian Institute of Technology, Delhi and post graduated in 2013 with a degree M.Sc. in Mathematics. In the fall of 2013, I was hired to teach Engineering Mathematics at Mumbai University and I have taught there for three years. Currently, I live in New Delhi and work as a Maths and Statistics Tutor over here since January, 2017.
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Reviews
By Juan Deutsch on 2/16/2022
Bad audio. Good exercises + small theory.
By Vineet on 3/17/2021
Well Designed course with each concept of basic probability theory is supported by multiple example. This course is a good starting points the people starting there journey towards Data Science.
By Diana Carolina Cabrera Torres on 12/4/2020
It was interesting, but need more applications on Machine Learning or Data Science
By Bruna Caveion on 12/9/2019
O conteúdo do curso está bom mas as aulas são muito chatas e entediantes.
By Taniya Dutta on 6/14/2019
I would've preferred if you added a venn diagram to explain some of the union and intersection examples. Some people are not exactly familiar with the properties of sets and need some background. Overall good content and examples
By Carla O on 11/25/2018
Very compact course. Goes beyond the basics. Wish it had practice examples. Will have to go over to grasp.
By Amresh Das on 4/9/2018
Good explanation with basics.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 78 / 100
- Video Duration:
4.1h - Price: $34.99
- Provider: Udemy
- Updated:
March 2025 - Level:
All Levels - Language:
English - Certificate:
Yes
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