====== Tutorials ======

^ Number ^ Topic ^ Tutor ^ Contents ^ Materials ^
| 1 | RL | Ryšavý | MDP | {{ :courses:smu:rltutorial1.pdf |}} {{ :courses:smu:rltutorial1-solved.pdf |}} {{ :courses:smu:mdprefresh.pdf |}} |
| 2 | RL | Ryšavý | TD-learning | {{ :courses:smu:rltutorial2.pdf |}} {{ :courses:smu:rltutorial2-solved.pdf |}} {{ :courses:smu:rltutorial2.zip |}} |
| 3 | RL | Ryšavý | Theoretical problems | {{ :courses:smu:rltutorial3.pdf |}} {{ :courses:smu:rltutorial3-solved.pdf |}} {{ :courses:smu:tutorials:convergence.pdf |}} |
| 4 | RL | Ryšavý | Deep RL | {{ :courses:smu:NNsRLtutorial.zip |}} |
| 5 | BN | Tóth | Intro, D-separation, CPTs | {{ :courses:smu:bn-labs-intro.pdf|Intro}} {{ :courses:smu:bn-lab01.pdf|Problems}} {{ :courses:smu:bn-lab01-solved.pdf|Problems with solutions}} |
| 6 | BN | Tóth | Inference in BNs | {{ :courses:smu:bn-lab02.pdf|Problems }} {{ :courses:smu:bn-lab02-solved.pdf|Problems with solutions}} |
| 7 | NLP | Šír | Probabilistic models | [[https://colab.research.google.com/drive/1Ttw6xgvWqGhVhHRe7xlK4YKsagRca5UE?usp=sharing| tutorial notebook 1]]  |
| 8 | NLP | Šír | Vector models | [[https://colab.research.google.com/drive/1UIH63H65Zs_KFI3IBU48QsXMo9j_3OWt?usp=sharing| tutorial notebook 2]] |
| 9 | NLP | Šír | Matrix models | [[https://colab.research.google.com/drive/1GN7wm2gSkmIYQIWQhHE9a2D7gfrLCOAE?usp=share_link | tutorial notebook 3 ]] |
| 10 | NLP | Šír | Neural models | [[https://colab.research.google.com/drive/1CJQxOJrCdE_IUH8IVtuwSOAG4dk2xU1T?usp=sharing | tutorial notebook 4]] |
| 11 | COLT | Tóth | Intro, MB Learning | {{ :courses:smu:colt-lab01.pdf|Problems }} {{ :courses:smu:colt-lab01-solved.pdf|Problems with solutions}}  |
| 12 | COLT | Tóth | MB Learning | {{ :courses:smu:colt-lab02.pdf|Problems }} {{ :courses:smu:colt-lab02-solved.pdf|Problems with solutions}}  |
| 13 | COLT | Tóth | PAC Learning | {{ :courses:smu:colt-lab03.pdf|Problems }} {{ :courses:smu:colt-lab03-solved.pdf|Problems with solutions}} |