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Neural Networks Demystified for Data Professionals

Neural networks are the foundation for so many applications in the field of machine learning and artificial intelligence. This course will demystify what they are, how they work, and how they can be used in a variety of real-world applications.

Amber Israelsen - Pluralsight course - Neural Networks Demystified for Data Professionals
by Amber Israelsen

What you'll learn

In the current era of artificial intelligence, a solid understanding of neural networks is essential for anyone looking to keep their skills fresh.

In this course, Neural Networks Demystified for Data Professionals, you’ll gain an understanding of neural networks and how they’re used in real-world applications.

First, you’ll explore the fundamental concepts and terminology behind neural networks and how they came to be.

Next, you’ll discover the basic building blocks and architectures of a neural network and how they learn—such as nodes, layers, input, weights, and activation functions.

Finally, you’ll learn about the applications and impact of deep learning in various industries.

When you’re finished with this course, you’ll have the foundational knowledge of neural networks needed to pursue other studies in artificial intelligence.

Table of contents

About the author

Amber Israelsen - Pluralsight course - Neural Networks Demystified for Data Professionals
Amber Israelsen

Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. She also focuses on user experience and professional skills training, bridging the gap between techies and non-techies.

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