Introduction to Random Number Generators for Machine Learning in Python

Last Updated on July 31, 2020

Randomness is a big part of machine learning.

Randomness is used as a tool or a feature in preparing data and in learning algorithms that map input data to output data in order to make predictions.

In order to understand the need for statistical methods in machine learning, you must understand the source of randomness in machine learning. The source of randomness in machine learning is a mathematical trick called a pseudorandom number generator.

In this tutorial, you will discover pseudorandom number generators and when to control and control-for randomness in machine learning.

After completing this tutorial, you will know:

• The sources of randomness in applied machine learning with a focus on algorithms.
• What a pseudorandom number generator is and how to use them in Python.
• When to control the sequence of random numbers and when to control-for randomness.

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Let’s get started.

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