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SUMMARY:IMPRS / ODSL ML Block Course
DTSTART:20260316T080000Z
DTEND:20260326T160000Z
DTSTAMP:20260605T231500Z
UID:indico-event-7979@indico.ph.tum.de
DESCRIPTION:Speakers: Nicole Hartman (TUM)\, Jed Homer (LMU/ODSL)\n\nThe O
 rigins Data Science Lab (ODSL) is organizing a block course on "Introducti
 on to Machine Learning" targeted towards PhD students in physics. Interest
 ed MSc students from LMU and TUM are welcome as well.\nThe courses will ta
 ke place at the Garching campus\, the room for each session is noted on th
 e agenda.\nThe two-week introductory block course (16.03.2025 - 27.03.2025
 ) will cover the following topics:\n\nFirst Week:\n\nSupervised learning 
  and inference\nMachine Learning theory (bias / variance trade-off)\nIntr
 o to Neural Networks (universal approximation theorem\, optimizers)\nDeep 
 learning frameworks (e.g\, pytorch)\nDeep Generative Models (Normalizing f
 lows\, flow matching\, and VAEs)\n\n\nSecond Week:\n\nConvolutional Neural
  Networks\nDeep sets\nTransformers / vision transformers\nClustering algor
 ithms \n\nClassical (k-means / PCA)\nNeural (Maskformers)\n\n\nBuilding b
 igger: neural scaling laws\nTraining tips and tricks \n\n\n\nPlease regis
 ter for the Event using the Registration Link.\nLecturers:\n\nNicole Hartm
 an\, nicole.hartman@tum.de\nJed Homer\n\nForms of credit: ECTS points are 
 available (details forthcoming). If you're taking the course for credit\, 
 there will be an exam at the end of the course ( 2 weeks after end of lect
 ures ).\nCertificates of participation will be provided on request.\nGithu
 b: https://github.com/odsl-team/block-course-mar26-ML\n^ for tutorials and
  homework exercises.Zoom: Due to a number of requests (lecture only)https:
 //tum-conf.zoom-x.de/j/9989583663?pwd=dE9yL2FPNUl6SHBRVW50MHJ4L0FVdz09\nMe
 eting ID: 998 958 3663Passcode: 823761\n\nhttps://indico.ph.tum.de/event/7
 979/
URL:https://indico.ph.tum.de/event/7979/
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