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Machine Learning with Python: from Linear Models to Deep Learning
- Class 30
- Practice 45
- Independent work 105
Total
180
Course title
Machine Learning with Python: from Linear Models to Deep Learning
Lecture type
Elective
Course code
21-02-583
Semester
1
ECTS
6
Minimal learning outcomes
- Demonstrate understanding of the principles and algorithms for turning training data into effective automated predictions
- Demonstrate understanding of concepts of representation, over-fitting, regularisation and generalisations
- Demonstrate understanding of concepts of clustering, classification, recommender systems, probabilistic modeling and reinforced learning.
- Demonstrate understanding of concepts of online algorithms, support vector machines, neural networks and deep learning.
- From a real-life situation, formulate a implementation and research machine learning principles and algorithms
Preferred learning outcomes
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4 semesters (2 years)
Professional Master in Computer Engineering, sub-specialization in Data science
IT SMF – ITIL Foundation
Introduction to Programming Using Python
Tableau Desktop Qualified Associate
Professional Master in Computer Engineering, sub-specialization in Data science