Study Programme B-KUL-H02C1A Machine Learning and Inductive Inference

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General information

  • Academic year: 2011-2012
  • Study points: 4
  • Language: English
  • Difficulty: Advanced
  • Duration: 34.5 hours Schedule
  • Periodicity: Taught in the first semester
  • POC: POC Artificial Intelligence
  • This course cannot be followed within the context of an exam contract
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Taught by

Blockeel Hendrik

Aims

This course will familiarise the students with the domain of machine learning, which concerns techniques to build software that can learn how to perform a certain task (or improve its performance on it) by studying examples of how it has been accomplished previously, and in a broader sense the discovery of knowledge from observations (inductive inference).
After following this course, students will:

  • have a basic understanding of the general principles of learning
  • have an overview of the existing techniques for machine learning and data mining
  • understand how these techniques work, and why they work
  • be able to implement programs that learn or exhibit adaptive behavior, using these techniques
  • be up-to-date with the current state of the art in machine learning research
  • be able to contribute to contemporary machine learning research

Previous knowledge

Students should be familiar with:

  • algorithms and programming
  • some elements from higher mathematics, probability theory and statistics
  • predicate logic

Introductory courses on these topics (at the Bachelor level) suffice.

This course is included in

Master of Science in Artificial Intelligence   (Option Engineering and Computer Science (ECS)) (Required)   (Option Cognitive Science (CS))
Master of Science in de ingenieurswetenschappen: computerwetenschappen (geen nieuwe inschrijvingen in 2011-2012)   (Artificiële intelligentie) (Verplicht)  
Master of Science in Bioinformatics   (Required)  
Master of Science in Statistics   (Biometrics)
Master of Science in de statistiek   (Biometrie)
Master of Science in de bio-informatica   (Verplicht)  
Master of Science in Information Management  
Master of Science in de toegepaste economische wetenschappen: handelsingenieur in de beleidsinformatica  
Master of Science in Artificial Intelligence   (Option Speech and Language Technology (SLT))

Course Material

Slides, transparencies, courseware
Toledo / e-platform
Syllabus

Prerequisites

This course is a prerequisite for the following courses:
H05N0A:  Capita selecta computerwetenschappen: Artificiële intelligentie

Activities

B-KUL-H00G6a Machine Learning and Inductive Inference: Exercises
B-KUL-H02C1a Machine Learning and Inductive Inference: Lecture

Evaluation

B-KUL-H22C1a Evaluation : Machine Learning and Inductive Inference