==== Tutorials ===== ^ T^ Date^ Tutor ^ Deadline ^ Contents ^ Materials ^ | 1| 19.2.| PR | | Introduction, Python environment | {{courses:smu:tutorial1.pdf|PDF}} {{courses:smu:smu_entrance_test.pdf|entrance test}} {{courses:smu:introtestsolution.pdf|sample solution}} | | 2| 26.2.| JB | | PEAS agent model, environment properties, input/output types of machine learning models, demos | {{:courses:b4m36smu:tutorial2.pdf|Slides}} | | 3| 5.3.| JB | | Learning conjunctive and disjunctive concepts | {{:courses:smu:tutorial3.pdf|}}{{:courses:b4m36smu:cv3_student.py|}} {{:courses:b4m36smu:cv3_referential_solution.py|}} | | 4| 12.3.| JB | | Assignment of the first student project | {{:courses:b4m36smu:project1.zip|}} {{:courses:b4m36smu:smu_student_projects.pdf|}} | | 5| 19.3.| OH | | Bayesian Networks - semantics | {{:courses:b4m36smu:tutorial1.zip|}} | | 6| 26.3.| OH | | Bayesian Networks - inference |{{:courses:b4m36smu:tutorial2.zip|}} | | | 2.4| | | holiday | | | 7| 9.4.| OH | | Assignment of the second student project |{{:courses:smu:smu_project_2018.pdf|}} {{:courses:smu:project_2018.zip|}} | | 8| 16.4.| MS | | Inductive Logic Programming - learning from interpretations | {{ :courses:smu:smu_ilp_1.pdf |}} {{ :courses:smu:ilptutorial1.rar |}}| | 9| 23.4.| MS | | Inductive Logic Programming - learning from entailment, ILP assignment | {{ :courses:smu:smu_ilp_2.pdf |}} {{ :courses:smu:ilptutorial2nhw.rar |}} | | | 10| 30.4.| MS | | RLGG, Propositionalization | {{ :courses:smu:smu_ilp_3.pdf |}} {{ :courses:smu:muta.txt |}} | | 11| 7.5.| PR | | RL introduction, Assignment of the fourth project | {{courses:smu:tutorials:rltutorial1.zip}}, {{courses:smu:tutorials:rltutorial1-handout.pdf|slides}}, {{courses:smu:tutorials:project4.zip| zip_HW (v 1.1.1)}}, {{courses:smu:tutorials:project4spec.pdf| pdf_HW (v 1.1.1)}} | | 12| 14.5.| PR | | Passive reinforcement learning agents, TD methods | {{courses:smu:tutorials:rltutorial3.zip|zip}}, {{courses:smu:tutorials:rltutorial3.pdf|slides}} | | 13| 21.5.| PR | | Problems by hand | {{courses:smu:tutorials:convergence.pdf|Notes on convergence}} |