Využití strojového učení v evolučně-psychologickém výzkumu
| Thesis title in Czech: | Využití strojového učení v evolučně-psychologickém výzkumu |
|---|---|
| Thesis title in English: | Application of machine learning in Evolutionary psychology research |
| Key words: | strojové učení; evoluční psychologie; lidské chování |
| English key words: | machine learning; evolutionary psychology; human behavior |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | diploma thesis |
| Thesis language: | |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | Mgr. Roman Neruda, CSc. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 14.02.2020 |
| Date of assignment: | 14.02.2020 |
| Confirmed by Study dept. on: | 26.04.2022 |
| Guidelines |
| The goal of this thesis is application of machine learning in Evolutionary psychology research in cooperation with Department of Parasitology, Faculty of Science.
The main task is to find new, initially unforeseen traits and correlations in tested populations. The student will develop a complete machine learning workflow that allows to solve supervised and unsupervised learning tasks on the datasets collected from empirical and clinical research. |
| References |
| Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. The MIT Press. 2016.
Stuart J. Russell: Artificial Intelligence: A Modern Approach, 3rd ed., Prentice Hall, 2010. Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome: The Elements of Statistical Learning, 2nd ed., Springer, 2009. |