Course description
This course will provide you with knowledge and understanding of the application of machine learning techniques to real-world industrial problems, within the domain of digital signal and image processing and beyond.
Upcoming start dates
1 start date available
Outcome / Qualification etc.
What you will learn
On successful completion of this course you will be able to:
- Apply a range of machine learning techniques to solve industrial problems, within the domain of digital signal and image processing.
- Evaluate the application of machine learning approaches to a wider set of data mining and classification type problems.
- Using a provided implementation, plan machine learning analysis on suitable forms of digital signal and image processing data.
- Explain the concepts and operation of a range of machine learning algorithms, in order to facilitate re-implementation in a software programming environment.
Training Course Content
Core content
- Machine learning theory and methodology
- Decision tree classifiers
- Instance-based learning
- Bayesian classification
- Genetic algorithms
- Ant colony optimisation
- Neural networks
- Support vector machines
- EM algorithm
Course delivery details
Course structure
During the course, you will use the OpenCV software suite, including its machine learning module.
Request info
Cranfield University
College Road
MK43 0AL Cranfield
Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...
Ads