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Machine Learning Applications
Engineering & Social Sciences Program
Madrid, Spain
Dates: 1/16/25 - 6/4/25
Machine Learning Applications
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: 16503
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: It is recommended to have completed the subjects about mathematical foundations from the first year (Calculus I and II, Linear Algebra, Probability and Data Analysis), the subjects related to programming and algorithms (Programming and Data Structures and Algorithms), as well as subject Statistical Learning. It is also advised that the students have already taken the Machine Learning (I and II) courses.
DESCRIPTION
This course is divided into 3 thematic blocks. The first concerns the problem of adapting and cleaning a database, a critical preprocessing step that is addressed prior to any machine learning application. The next two blocks address two industry-relevant applications where machine learning techniques have achieved a great success. The understanding of how the different machine learning techniques have to be adapted to solve specific problems of interest to industry and society will provide students with a practical and general vision of applied Machine Learning.
The course ends with a final block where two visualization tools will be presented to the students, that will use them for the final project assignment.
The course ends with a final block where two visualization tools will be presented to the students, that will use them for the final project assignment.