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MATLAB Advanced
Advance your MATLAB skillsPreview the first lesson free — get full access to all 25 lessons.
Advanced Provider : Gabriel Popoola 9 chapters · 25 Lessons · 2h 26m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
Machine learning, signal analysis, image analysis, and image processing are some of the most complex and advanced nonspecialized areas of study in science and mathematics. In modern-day practice and research, the techniques and practices from two or more of these areas are often used together. In order to gain comfort working with these modern practices, you have to first gain understanding and experience working with these areas individually. In this MATLAB Advanced course, you will discover how to utilize various MATLAB toolkits, apps, and functions in order to carry out complex and advanced techniques. You’ll be exposed to image processing, image analysis, machine learning, statistical analysis, and much more.
After completing this course, you will be able to apply what you learned to projects involving data science, artificial intelligence, finance, and many other topics. Additionally, you’ll be able to apply these skills in the industry, government, academia, and even personal projects and tasks. Your newfound knowledge and understanding of MATLAB will allow you to use it closer to its full potential.
What You'll Learn
- Apply machine learning techniques in MATLAB, including automatic machine learning (AutoML), feature selection, and hyperparameter tuning
- Distinguish between signal analysis, image processing, and image analysis
- Execute statistical analysis in MATLAB, covering summary statistics, descriptive statistics, and probability distributions
- Build classification and regression models using model selection and data model workflows
- Perform signal analysis using the signal analyzer, including signal selection, preprocessing, exploration, and analysis sharing
- Carry out image analysis and processing tasks such as image segmentation, object analysis, image types, and the Image Processing Toolbox
Key Takeaways
- Machine learning, signal analysis, image analysis, and image processing are among the most complex and advanced nonspecialized areas of study in science and mathematics, and modern practice often combines two or more of them.
- The course teaches learners to utilize various MATLAB toolkits, apps, and functions to carry out complex and advanced techniques across these areas.
- Skills gained can be applied to projects involving data science, artificial intelligence, finance, and many other topics across industry, government, academia, and personal tasks.
- Building comfort with modern combined practices first requires gaining understanding and experience working with each of these areas individually.
- The course covers statistical analysis in MATLAB at various levels, from summary and descriptive statistics to probability distributions.
Frequently Asked Questions
What does the MATLAB Advanced course cover?
It covers image processing, image analysis, machine learning, statistical analysis, and more, teaching you how to use various MATLAB toolkits, apps, and functions to carry out complex and advanced techniques.
Who is this course for and where can the skills be applied?
It is for learners who want to use MATLAB closer to its full potential. The skills can be applied to projects involving data science, artificial intelligence, finance, and many other topics across industry, government, academia, and personal projects and tasks.
What machine learning topics are included?
The course covers automatic machine learning in MATLAB (AutoML), feature selection, hyperparameter tuning, classification, and regression, including model selection and data model workflows.
What will I be able to do after completing the course?
You will be able to use machine learning techniques in MATLAB, recognize the difference between signal analysis, image processing, and image analysis, and determine how to execute statistical analysis in MATLAB at various levels.
Does the course cover image and signal work?
Yes. It includes signal analysis topics such as the signal analyzer, signal selection, preprocessing, exploration, and analysis sharing, as well as image analysis and processing topics including image segmentation, object analysis, image types, and the Image Processing Toolbox.
