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INF 513 Machine Learning: Reading list


Department: MSc in Informatics (Knowledge and Data Management) 
Module Description: Machine learning is about making computers learn, rather than simply programming them to do tasks. The course will discuss supervised learning (which is concerned with learning to predict an output, from given inputs), reinforcement learning (which is concerned about learning from interacting with an environment), unsupervised learning, where we wish to discover the structure in a set of patterns; there is no output "teacher signal". We will compare and contrast different learning algorithms, and unlike Data Mining Exploration module where the focus was on the applying algorithms to large real-world data sets, in this course we will get to the technical and mathematical details of the studied algorithms.

 

Module text(s)

The lecture notes are designed to be self-contained, with pointers to web-resources and related material. Recommended readings include

Chapters in the following books are interesting to read

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