Summaries of Master AI at UvA

In this repository, I collect all my summaries I created during my studies in the Master programme Artificial Intelligence at the University of Amsterdam (2018 - 2020). Feel free to use them, but keep in mind that small mistakes might be included.

Courses

The PDF versions of the summaries can be found in the folder Final_versions. For latex files and editing, please see the corresponding folders.

Machine Learning 1 (UvA, 2018/19, updated by Frederik Nolte to 2020/21)

• Semester 1, Period 2
• Lecturer: Dr. Rianne van den Berg

Natural Language Processing 1 (UvA, 2018/19, updated by Frederik Nolte to 2020/21)

• Semester 1, Period 2
• Lecturer: Dr. Ekaterina Shutova
• Website: https://cl-illc.github.io/nlp1/

Information Retrieval 1 (UvA, 2018/19, updated by Frederik Nolte to 2020/21)

• Semester 1, Period 3
• Lecturer: Dr. Evangelos Kanoulas

Knowledge Representation (VU, 2018/19)

• Semester 2, Period 1
• Lecturer: Dr. Frank van Harmelen

Computer Vision 1 (UvA, 2018/19)

• Semester 2, Period 1
• Lecturer: Dr. Theo Gevers
• Website: https://cv1-uva.github.io

Deep Learning (UvA, 2018/19, updated by Frederik Nolte to 2020/21)

• Semester 2, Period 2
• Lecturer: Dr. Efstratios Gavves
• Website: http://uvadlc.github.io

Machine Learning for Quantified Self (VU, 2018/19)

• Semester 2, Period 3
• Lecturer: Dr. Mark Hoogendoorn
• Website: https://ml4qs.org

Machine Learning 2 (UvA, 2019/20)

• Semester 1, Period 1
• Lecturer: Dr. Joris Mooij

Reinforcement Learning (UvA, 2019/20)

• Semester 1, Period 1
• Lecturer: Dr. Herke van Hoof