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DTSTART;VALUE=DATE:20250325
DTEND;VALUE=DATE:20250327
SUMMARY:Introduction to machine learning
TRANSP:TRANSPARENT
UID:2025_03_25_introduction_to_machine_learning_942202
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\nMachine learning is revolutionizing the financi
 al sector\, offering powerful tools for data analysis and informed decis
 ion-making. This course is designed for experienced professionals lookin
 g to harness these methods in their organisation.\n\nDuring the course\,
  participants will gain a deeper understanding of selected methods\, acq
 uire practical skills 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 partic
 ipants to gain practical experience with examples in Python. Moreover\, 
 we will guide participants on how to draft a one-pager describing a sele
 cted use case in their domain\, which they will develop in the in-person
  part.\n\nThe in-person part consists of an agile development workshop f
 or participants to develop their use case and address the practical chal
 lenges associated with its implementation. It features hands-on ideation
 \, programming\, and collaboration sessions\, including feedback from th
 e moderators and from peer-groups.\n\nThis course provides a forum for c
 entral bankers\, regulators\, and supervisors to discuss strategies for 
 developing and implementing use cases that leverage advanced machine lea
 rning methods. It presents a unique setting to exchange knowledge and fo
 ster future collaborations.\n\nContents\nInterpretable Machine Learning\
 nCausal Inference\nNatural Language Processing\nUse Case Development Wor
 kshop\n\nTarget group\n\nThe course is aimed at data-savvy central banke
 rs\, regulators and supervisors in areas such as information technology 
 and statistics\, or research departments interested in implementing mach
 ine learning methods.\n\nFundamental knowledge of data analysis and stat
 istical software (including commands in Python) is required.\n\nParticip
 ants are expected to make an active contribution to the discussions and 
 will be asked to present their use case and provide feedback to other pa
 rticipants.\n\nTechnical requirements\n\nComputer with microphone\, came
 ra\, speakers or headphones\, an up-to-date internet browser.\n\nPlease 
 note:\n\nA nomination is required in order to participate in our in-pers
 on courses.\n\nOnly one registration is required for the course (parts 1
  and 2).
LOCATION:Frankfurt/Main
CONTACT:Deutsche Bundesbank – CIC\, tzk@bundesbank.de\, +49 69 9566-36605
 
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