Course Name: Machine Learning, ML

Course abstract

The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. It is a classical sub-discipline within Artificial Intelligence (AI). The discipline is increasingly used by many professions and industries to optimize processes and implement adaptive systems. The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree based inductive learning, inductive logic programming, reinforcement learning and deep learning through decision trees.

Course Instructor

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Prof.Carl Gustaf Jansson

Carl Gustaf Jansson is tenured Professor in Artificial Intelligence at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. His research contributions are mostly in artificial intelligence, in particular Knowledge Representation and Machine Learning. Particular research interests are intelligent interfaces and ubiquitous computing.
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Teaching Assistant(s)

Anamika Chhabra


 Course Duration : Feb-Apr 2020

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 Enrollment : 18-Nov-2019 to 24-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 26-Apr-2020




Certificate Eligible

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Successfully completed

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Final Score Calculation Logic

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Enrollment Statistics

Total Enrollment: 23967

Registration Statistics

Total Registration : 1415

Assignment Statistics

Assignment Score

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Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.