|READING BEFORE CLASS||WEEK-DATE-TIME||AGENDA||SLIDES as pdf|
|[Holzinger, A. Introduction to machine learning and knowledge extraction (MAKE). Machine Learning and Knowledge Extraction 2017, 1, 1-20. 10.3390/make1010001]||44, Friday, 4th November 2016, 11-13||Lecture 01:|
Welcome to the Holzinger Group HCI‐KDD, Part 1: What is the HCI‐KDD approach and what is machine learning – aML vs. iML ?
|[Gordon, A. D., Henzinger, T. A., Nori, A. V. & Rajamani, S. K. Probabilistic programming. Proceedings of the on Future of Software Engineering, 2014. ACM, 167-181.]||45, Friday, 11th November 2016, 11-13||Lecture 02:|
Welcome to the Holzinger Group HCI‐KDD, Part 2: What are some of our research topics, goals, questions and projects?
|Holzinger, A. 2010. Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics. Second Edition, Norderstedt, BoD.||46, Friday, 18th November 2016, 11-13||Lecture 03:|
Welcome to the Holzinger Group HCI‐KDD, Part 3: What are the formalia (requirements) and strategies for PhD Students and MSc Students ?
|47, Friday, 25th November 2016, 11-13||Lecture 04:|
Welcome to the Holzinger Group HCI‐KDD, Part 4: How do we contribute to the international research community ?