BEGIN:VCALENDAR
VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:4066-2675@rg-trier-luxemburg.gi.de
CLASS: PUBLIC
SUMMARY:Elements of AI: Free online courses
DESCRIPTION:Objectives: \n\n 	Understand what artificial intelligence is 	U
 nderstand the different approaches around artificial intelligence 	Understa
 nd the possibilities but also the limitations of AI 	Forming an opinion abo
 ut AI \n\nProgramme \n\nChapter 1 - What is AI?\n\n 	How should we define A
 I? 	Related fields 	Philosophy of AI \n\nChapter 2 - AI problem solving\n\n
  	Search and problem solving 	Solving problems with AI 	Search and games \n
 \nChapter 3 - Real world AI\n\n 	I. Odds and probability 	II. The Bayes rul
 e 	III. Naive Bayes classification \n\nChapter 4 - Machine learning\n\n 	Th
 e types of machine learning 	The nearest neighbor classifier 	Regression  \
 n\nChapter 5 - Neural networks\n\n 	Neural network basics 	How neural netwo
 rks are built 	Advanced neural network techniques \n\nChapter 6 - Implicati
 ons\n\n 	About predicting the future 	The societal implications of AI 	Summ
 ary \n\nPractical information\n\n 	Location: 100% online 	Date: 22/02/2021 
 	Duration: 30h / 6 weeks 	Language: English \n\nRegistration\n\nPre-registr
 ation until 22/02/2021 via https://eofai.lu/uni \n\nSee also the programme 
 flyer.
LOCATION:Online Webinar
DTSTAMP:20210209T094240Z
DTSTART:20210222T090000Z
DTEND:20210331T160000Z
END:VEVENT
END:VCALENDAR