Introduction to AI

Are you new to machine learning and deep learning? Do you want to learn how to apply these techniques in your work? Machine learning algorithms use computational methods to learn information from data without relying on a predetermined equation as a model. Deep learning is a machine learning method that applies neural networks with many hidden layers. These neural networks learn directly from raw data and can surpass the accuracy of machine learning algorithms in certain applications.

In this hands-on introductory workshop, you will learn how to apply machine learning and deep learning to images and signals. You’ll see how MATLAB^® provides an environment to apply advanced techniques without requiring coding or experience in machine learning and deep learning. You will also:

• Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “feature selection”
• Build and evaluate machine learning models based on images and signals
• Learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “hyperparameter tuning”
• Build and evaluate deep neural networks for images and signals
• Understand the difference between both techniques and their use cases