Probability Theory Basics | Codefinity

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# Probability Theory Basics

4.8+
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Intermediate
Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.
26 chapters
3 hours
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## What you will learn

1
Basic Concepts of Probability Theory
We will start our way of learning probability theory by considering some basic definitions and rules: what is a stochastic experiment and random event, what is independence and incompatibility of events in the context of probability theory, what is the probability and how can we calculate probabilities of different elementary events.
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2
Probability of Complex Events
In real-life tasks, we often have to deal with complex relationships and, as a result, calculate probabilities of several events or events that depend on each other. Let's consider how we can do this using probability theory.
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3
Commonly Used Discrete Distributions
To solve many real problems in probability theory, special models have been created that describe a particular situation. Let's consider some of the most used models that can be used to describe some discrete results of stochastic experiments.
View chapter details
1
Basic Concepts of Probability Theory
We will start our way of learning probability theory by considering some basic definitions and rules: what is a stochastic experiment and random event, what is independence and incompatibility of events in the context of probability theory, what is the probability and how can we calculate probabilities of different elementary events.
View chapter details
2
Probability of Complex Events
In real-life tasks, we often have to deal with complex relationships and, as a result, calculate probabilities of several events or events that depend on each other. Let's consider how we can do this using probability theory.
View chapter details
3
Commonly Used Discrete Distributions
To solve many real problems in probability theory, special models have been created that describe a particular situation. Let's consider some of the most used models that can be used to describe some discrete results of stochastic experiments.
View chapter details
4
Commonly Used Continuous Distributions
What if the result of a stochastic experiment cannot be described by a discrete value? For this, models that work with continuous values are used. Consider the most popular of these models.
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5
Covariance and Correlation
Often we are faced with the task of checking the dependence of the results of different stochastic experiments on each other. Moreover, it is necessary not only to assess the presence of dependencies but also to somehow quantify the degree of dependencies. To solve these problems, we can use covariance and correlation.
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_Gracy
it's simply perfectly well explained
it's simply perfectly well explained! so far I have not experienced any difficulty because everything is so well managed...
Ruslan Kravchuk
The main thing is to learn and not give up
The material is good, there is a lot to learn, all in order to become better and the main thing is to learn what you want....
Matteo Comune
Thanks to them I'm learning a lot…
Thanks to them I'm learning a lot faster because they help you to understand everything from scratch. It's the best website that helps people with no background in IT...
great course for beginners
great course for beginners, they test your knowledge in every lesson...
Elpunzon
I am enjoying my Codefinity experience…
I am enjoying my Codefinity experience learning Python. The self-paced way of learning is great because I can fit it into my schedule...
Alexandru Alexandru
Is nice to learn from codefinity
Is nice to learn from codefinity. Its easy and have good examples on what I learned here...
jacob Templet
Easy to follow along with and provides...
Easy to follow along with and provides challenge in my every day life. The challenge keeps me wanting to learn day after day...
Elan
Codefinity is a comprehensive learning…
Codefinity is a comprehensive learning tool to help you develop your skills as a software engineer or data scientist. The exercises are fun and a good way to sharpen your skills...
Thibault
First time learning how to code
First time learning how to code and successfully doing so with codefinity - thank you...
Well designed for total beginners
Well designed for total beginners, incremental progress and makes me feel confident....
_Gracy
it's simply perfectly well explained
it's simply perfectly well explained! so far I have not experienced any difficulty because everything is so well managed...
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