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DTSTAMP:20260429T195148Z
DTSTART;VALUE=DATE:20250311
DTEND;VALUE=DATE:20250312
SUMMARY:Introduction to machine learning
TRANSP:TRANSPARENT
UID:2025_03_11_introduction_to_machine_learning_942200
DESCRIPTION:Duration\n\n5 days: A two-day online introduction followed by
  a three-day in-person event in Frankfurt\n\nOnline: 11 and 12 March 202
 5\nIn-person: 25 to 27 March 2025\n\nDeadline for application\n\n10 Janu
 ary 2025\n\nObjective\n\nanalysis and informed decision-making. This cou
 rse is designed for experienced professionals looking to harness these m
 ethods in their organisation.\n\nDuring the course\, participants will g
 ain a deeper understanding of selected methods\, acquire practical skill
 s through hands-on examples in Python\, and develop and implement a real
 -world use case in their domain.\n\nThe online part introduces selected 
 advanced machine learning methods and enables participants to gain pract
 ical experience with examples in Python. Moreover\, we will guide partic
 ipants on how to draft a one-pager describing a selected use case in the
 ir domain\, which they will develop in the in-person part.\n\nThe in-per
 son part consists of an agile development workshop for participants to d
 evelop their use case and address the practical challenges associated wi
 th its implementation. It features hands-on ideation\, programming\, and
  collaboration sessions\, including feedback from the moderators and fro
 m peer-groups.\n\nThis course provides a forum for central bankers\, reg
 ulators\, and supervisors to discuss strategies for developing and imple
 menting use cases that leverage advanced machine learning methods. It pr
 esents a unique setting to exchange knowledge and foster future collabor
 ations.\n\nContents\nInterpretable Machine Learning\nCausal Inference\nN
 atural Language Processing\nUse Case Development Workshop\n\nTarget grou
 p\n\nThe course is aimed at data-savvy central bankers\, regulators and 
 supervisors in areas such as information technology and statistics\, or 
 research departments interested in implementing machine learning methods
 .\n\nFundamental knowledge of data analysis and statistical software (in
 cluding commands in Python) is required.\n\nParticipants are expected to
  make an active contribution to the discussions and will be asked to pre
 sent their use case and provide feedback to other participants.\n\nTechn
 ical requirements\n\nComputer with microphone\, camera\, speakers or hea
 dphones\, an up-to-date internet browser.\n\nPlease note:\n\nA nominatio
 n is required in order to participate in our in-person courses.\n\nOnly 
 one registration is required for the course (parts 1 and 2).
LOCATION:Online platform
CONTACT:Deutsche Bundesbank – CIC\, tzk@bundesbank.de\, +49 69 9566-36605
 
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