The ongoing digital transformation is changing the way companies work and evolve. The improvement in the automatic acquisition of data from company operations, has made automated data processing techniques more relevant for processing large volumes of information. With this micro-module you'll learn the most frequent techniques of machine learning and good practices in the design of solutions, measurement of their performance, and understanding of their potential and limitations.
micro-module
Applied Machine Learning
Applied Machine Learning
THIS ELO COMES FROM A CONTINUOUS EDUCATION INITIATIVE
Open for application
Description
The ongoing digital transformation is changing the way companies work and evolve. The improvement in the automatic acquisition of data from company operations, has made automated data processing techniques more relevant for processing large volumes of information. With this micro-module you'll learn the most frequent techniques of machine learning and good practices in the design of solutions, measurement of their performance, and understanding of their potential and limitations.
The Team
CM
Ciro Martins
Teacher
0 learners
- Topics
- Study format
- Online
- Application period
- 3 November – 15 December 2025
- Study period
- 5 January – 5 February 2026
- Credits
- 3 ECTS
- Hosting university
- University of Aveiro
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Learning outcomes
Identify challenges where machine learning can help improve the performance of given solutions
ESCO SKILLS
Compares the current limitations of the most frequent machine learning techniques
ESCO SKILLS
Examine whether a given technique is producing good results
ESCO SKILLS
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Information
The ongoing digital transformation is changing the way companies work and evolve. The improvement in the automatic acquisition of data from company operations, has made automated data processing techniques more relevant for processing large volumes of information. With this micro-module you'll learn the most frequent techniques of machine learning and good practices in the design of solutions, measurement of their performance, and understanding of their potential and limitations.
Hosting university
University of Aveiro
