Basic Understanding of Probability for Machine Learning
What you'll learn
- You'll learn the basic concept of Probability and how to use it in Problem solving
- Learn about Conditional Probability, Mutually Exclusive and Independent events
- You'll also learn about Total Probability and Bayes Theorem
- Learn what are Random variables and how to calculate their Mean and Variance
- You'll learn about Binomial Distributions and how to calculate their Mean and Variance
- Formulas learnt in this course are compiled together for you
- Whispers of Probability-Unveiling the Poisson Distribution
- Learn how to apply Poisson Distribution in real life situations
Requirements
- Basic knowledge of permutations and Combinations
- You can refer to my course on Permutations and Combinations on Udemy.
Description
Once upon a time in the city of Athens, there was a young mathematician named Anna. Anna was always fascinated by the chance of uncertainty and she knew that Probability was the only way to understand this. Wanting to share her knowledge with the world, she created a Probability Course.
This Course was open to all and it promised to make Probability easy to understand. As the students gathered, Anna began her class by rolling a dice. She asked her students the probability of getting 7 by rolling two dice.
Under Anna's guidance , the students learnt that there were multiple ways to get 7 by rolling two dice. As the course progressed, Anna introduced her students to conditional probability, independent events, Bayes Theorem and more. One of Anna's favourite parts of the course was when the students experimented with random events and realised how to distinguish between a random and Binomial variable.
By the end of the course, Anna had inspired her students to understand Probability, not as something to be feared, but to help them understand the world around them. And so, Probability, became a beloved course where students of all backgrounds came to learn, thanks to a mathematician named Anna.
Have you wanted to learn Probability on your own? Each problem here follows a different approach. Here's helping you to understanding Probability better.
I am Suman Mathews. I have a double master's in Mathematics and I have taught Maths to high school and college students for the past three decades. A good knowledge of Probability will also go a long way in helping you in SAT and GRE QUANT exams.
To start with, you'll learn the basic definition of Probability and how to apply it in problem solving. You need to keep in mind that probability=(number of favourable events)/total number of events. You'll learn about Conditional Probability, Mutually exclusive and independent events and properties regarding these.
Moving on, you learn about Total Probability and how it leads to Bayes' Theorem. There area a number of solved examples illustrated here for you to practice. This comes to the end of the first part of the course.
Next, you'll learn what are Random variables and how to calculate the mean and variance of discrete and continuous random variables. The course teaches you how to distinguish between a discrete and continuous variable. Moving on, you'll come to Binomial distributions and how to check if a variable is a random variable or follows Binomial distribution.
This is extremely important and the course teaches you how to distinguish between the two. Learn how to calculate the mean and variance of random variables and a Binomial distribution. You're also given all the formulas taught in the course as one module.
Bonus-Learn about the Poisson Distribution in Probability. You'll learn about the mean and variance of the Poisson distribution and its application in problems.
Enrol for the course and enhance your learning. Thank you!
Who this course is for:
- Mathematics students learning Analytics, Computer Science
- Students preparing for the GRE QUANT and GMAT QUANTITATIVE reasoning.
Instructor
I have been a mathematics educator for over 25 years teaching mathematics both at the high school and graduate level. Presenting a set of courses on Class 11 and 12 maths and College maths.
These courses are designed to help you understand the basic nuances of Mathematics. Each topic in mathematics is like a language which makes sense, only if it is understood. My mission in each of these courses is to help any student understand the subject better and develop a liking for Mathematics.
The courses are self explanatory. A lot of importance is given to problem solving
You can contact me for any feedback about course topics. I would love to hear from you!