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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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