Marcin Sydow - Tools of AI - Course Web Page

• Witten, Frank "Data Mining" (Machine learning)
• James, Witten, Hastie, Tibshirani "An Introduction to Statistical Learning" (Statistical Machine Learning)
• Marsland "Machine Learning" (Neural Networks, Local Search Heuristics, Genetic Algorithms)
• Cormen, Leiserson, Rivest, Stein "Introduction to Algorithms" (NP-completeness)

• Introduction
• Basics of Machine Learning
• Perceptron
• 1-layer Neural Networks as Classifiers and Evaluation of Classification
• Training Multi-Layer Continuous Neural Networks, Back-Propagation Method
• Knowledge Representation and the problem of Over-fitting
• Clustering
• Naive Bayes (only short notes available)
• Decision Trees
• Introduction to Discrete Optimisation
• Local Search Heuristics
• Greedy Algorithms
• Colloquium 1
• Colloquium 2 (during the lecture)
• Correction of Colloquia 1 and 2