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.
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 has been a software developer and technical trainer since the early 2000s. In recent years, she has focused on teaching AI, machine learning, AWS and Power Apps, teaching students around the world. She also works to bridge the gap between developers, designers and businesspeople with her expertise in visual communication, user experience and business/professional skills. She holds certifications in machine learning, AWS, a variety of Microsoft technologies, and is a former Microsoft Cer... more