Introduction to Machine Learning with Sound

This course gets you first-hand experience at creating and training machine learning models to predict specific animal sounds, like a cat purring, a dog barking, or a bird chirping. You can integrate these models onto a simple webpage built in Node-RED and add visual recognition to identify the image of an animal.

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Course Details

Course Code: DW0101EN

Audience: Developers who are new to machine learning

Course Level: Beginner

Time to Complete: 4 hours

Language: English

About the Course

In this course, you'll learn to create basic machine learning models that you train to recognize sounds of dogs, cats, and birds. You will also integrate visual recognition to identify images of these animals. Through the course of your learning, you can also build a basic user-interface in Node-RED that shows the results of the predictions for both sound and images.

You will use IBM Watson Studio to build classification models to predict and identify animal sounds and use IBM Watson Visual Recognition to identify the images of those animals. You will also learn to gather and prepare data, create and deploy models, deploy and test a signal processing application, create models with binary and multiclass classifications, and display the predictions on a web page.