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Literacy Essentials: Core Concepts Data Normalization

This course will teach you about the different types of Data Normalization techniques you can use when preparing your Deep Learning datasets in Machine Learning.

Dayo Bamikole - Pluralsight course - Literacy Essentials: Core Concepts Data Normalization
by Dayo Bamikole

What you'll learn

Deep Learning is a branch of Machine Learning based on Neural Networks. In this course, Literacy Essentials: Core Concepts Data Normalization, you’ll learn to use Normalization to place your dataset in an even playing field such that it can be easily analyzed. First, you’ll gain an understanding of why Normalization is needed in Deep Learning and in Machine Learning as a whole. Next, you’ll discover the different Normalization techniques available in Deep Learning. Finally, you’ll learn how to Implement these techniques by taking a look at scenarios. When you’re finished with this course, you’ll have the skills and knowledge of the Core Concepts of Data Normalization needed to understand Deep Learning.

Table of contents

About the author

Dayo Bamikole - Pluralsight course - Literacy Essentials: Core Concepts Data Normalization
Dayo Bamikole

Ifedayo is a tech specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. He loves teaching and watching people learn.

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