Machine Learning with MATLAB Online Course Overview
Learn about Machine Learning with MATLAB, an on-demand course that focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™. Machine Learning with MATLAB demonstrates the use of unsupervised learning to discover features in large datasets and supervised learning to build predictive models. Topics covered include:
- Organizing and preprocessing data
- Clustering data
- Creating classification and regression models
- Interpreting and evaluating models
- Simplifying datasets
- Using ensembles to improve model performance
Published: 23 Dec 2020
Machine learning has become particularly important in recent years because we now have so much data available to us from so many sources. The problem now is finding application experts who can implement machine learning techniques. So congratulations. By the end of this course, you'll be ready to start using machine learning methods in your projects.
This course will give you the basic ideas behind many machine learning algorithms for clustering, classification, and regression. We'll also cover different techniques for evaluating and improving your models. You don't need to learn a lot of theory to do practical machine learning, but it will help if you're familiar with the basic classification workflow in MATLAB.
If you've never done this before or if you'd like a refresher, it's easy to get started and we recommend you first take Machine Learning Onramp to get you up to speed quickly. To get started, all you need is a web browser. You'll interact with the web-based version of MATLAB where you'll receive step-by-step instructions and instant feedback.
You can also experiment and try things out on your own. You can do this at your own pace choosing topics that interest you. Your progress is saved, so you can leave any time and come back later. And when you're done, you can download a shareable certificate of completion. Click Start the Course to get started today.