https://cw.fel.cvut.cz/b172/ 2026-04-27T19:27:50+0200 https://cw.fel.cvut.cz/b172/ https://cw.fel.cvut.cz/b172/lib/tpl/bulma-cw/images/favicon.ico text/html 2018-05-15T10:02:03+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b172/courses/ui/lectures?rev=1526371323&do=diff Lectures List of [competencies] you should have after individual lectures. (Will be updated continuously.) The order of lectures is subject to change. Date W# Who Contents Materials 20.02.2018 1 PP AI, PR, learning and robotics. Decision tasks. Empirical learning. text/html 2018-02-12T16:11:16+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b172/courses/ui/literature?rev=1518448276&do=diff Suggested study literature “” Videolectures The topics of this course can be also learned from other online sources. Here we list some MOOCs with a strong connection to this course. Andrew Ng's Machine Learning (at Coursera.org) Pieter Abbeel's and Dan Klein's Artificial Intelligence (at edX.org) text/html 2018-02-21T14:06:45+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b172/courses/ui/prerequisities?rev=1519218405&do=diff Prerequisities Although this course is designed to complement (and deepen some of) the material presented in the bachelor level course Cybernetics and Artificial Intelligence (KUI), you can safely attend it even without having finished KUI. Just be warned that the AI methods and techniques covered in KUI will not be part of UI course (especially graph search methods, Markov decision processes, reinforcement learning). text/html 2018-02-13T14:41:33+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b172/courses/ui/sidebar?rev=1518529293&do=diff ---------- B3M33UI Schedule BE3M33UI Schedule BE3M33UI@FEL BRUTE Discussion forum text/html 2018-02-21T14:10:51+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b172/courses/ui/start?rev=1519218651&do=diff B(E)3M33UI - Artificial intelligence The course deepens and enriches knowledge of AI gained in the bachelor course Cybernetics and Artificial Intelligence. Students will get an overview of other methods used in AI, and will get a hands-on experience with some of them. They will master other required abilities to build intelligent agents. By applying new models, they will reiterate the basic principles of machine learning, techniques to evaluate models, and methods for overfitting prevention. Th…