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DTSTAMP:20260616T135819Z
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DTSTART:20191106T090000Z
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DESCRIPTION:Date\n\nNov 6 - Nov 7 2019\nLocation\n\nEMBL Heidelberg\nTutors
  and helpers\n\n- Dr. Malvika Sharan\n\n- Prof Bernd Bischl\n\n- Martin Bi
 nder\n\n- Giuseppe Casalicchio Affiliation: Ludwig-Maximilians-University 
 Munich\nCourse Information\n\nThis two-day course\, on the implementation 
 of Machine Learning in R\, using mlr package will be delivered as practica
 l sessions on programming and data analysis. The main goal of mlr is to pr
 ovide a unified interface for machine learning tasks as classification\, r
 egression\, cluster analysis and survival analysis in R. Sessions will be 
 driven by many practical exercises and case studies. Before this workshop\
 , participants are expected to review the official material introducing th
 e principle of Machine Learning (see the prerequisite).\nCourse Content\n\
 nThis 2-day course will cover hands-on sessions using `mlr` and other rele
 vant packages.\nDaily schedule\n\n- 09:30-12:30 3h morning\, 90 min Theory
  + 90 min Practical - 12:30-13:30 1h Lunchbreak - 13:30-16:30 3h afternoon
 \, 90 min Theory + 90 min Practical - 16:30-17:00 Time for general questio
 ns\nDay 1\n\nIntroduction to the concepts and Practical with mlr - Perform
 ance Evaluation and Resampling (Metrics\, CV\, ROC) - Introduction to Boos
 ting\nDay 2\n\nIntroduction to the concepts and Practical with mlr - Tunin
 g and Nested Cross-Validation - Regularization and Feature Selection\nPrer
 equisite\n\nThe course is aimed at advanced R programmers\, preferably wit
 h some knowledge of statistics and data modeling (See prerequisite materia
 ls from Day-1\, 2\, &amp\; 4). In this course\, our learners will learn mo
 re about machine learning and its application and implementation through t
 he hands-on sessions and use cases.\nOptional: Discussion-Based Session On
  The Principle of Machine Learning\n\nAnna Kreshuk (EMBL Group Leader) wil
 l lead a one-day discussion-based session on 14 October 2019 to address yo
 ur questions on the prerequisite materials on the principle of Machine Lea
 rning. This will also allow you to connect with other participants of this
  workshop informally\, and discuss the materials in smaller groups. Please
  register for this workshop separately: https://bio-it.embl.de/events/mach
 ine-learning-discussion-workshop-2019/.\nRegistration\n\nPlease register o
 n this page: https://bio-it.embl.de/events/machine-learning-in-r-2019/\n\n
 Please note that the maximum capacity of this course is 40 participants an
 d registration is required to secure a place. If you have any questions\, 
 please contact Malvika Sharan. In your registration\, please mention your 
 EMBL group name\, or institute's name (e.g. DKFZ\, Uni-HD) if you are regi
 stering as an external participant.\nCosts\n\n60\,00 EUR\nKeywords:\n\nMac
 hine Learning\, R\n
LOCATION:Heidelberg
SUMMARY:Machine Learning in R 
URL;VALUE=URI:https://www.denbi.de/training/675-machine-learning-in-r
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