Sampling Methods

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Primary software used Jupyter Notebook
Course Sampling Methods
Primary subject AI & ML
Secondary subject Machine Learning
Level Beginner
Last updated N/A
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In this tutorial we discuss some of the basic aspects of probability. Probability is an interpretation of the frequency with an event. It can be seen as the relative frequency of an event or an outcome of a random experiment.

Probability is the basis of a lot of artificial intelligence algorithms. In this tutorial we discuss some of the basic aspects of probability. Probability is an interpretation of the frequency with an event. So it can be seen as the relative frequency of an event or an outcome of a random experiment. Another very important concept in probability is random variable, which is a mathematical formalization of a quantity or object that is inherently random or depends on other random events.

For this tutorial you need to have installed Python, Jupyter notebooks, and some common libraries including Scikit Learn. Please see the following tutorial for more information.

Sampling Techniques

Exercise file

You can download the Python script of this tutorial below.

Download Sampling Techniques Python Script
Sampling Techniques Python Script (ZIP, 117 KB)