BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260617T143246Z
UID:1d684041-7e5e-4d54-9dcd-d304362d9ae4
DTSTART:20210412T090000Z
DTEND:20210416T170000Z
DESCRIPTION:Educators:\nNN\n \nDate:\nApril 12\, 13\, 14\, 15: 5 - 6:15 PM 
 UTC +2 (Berlin)\nApril 16\, 2021: 5 PM - 5:15 PM UTC +2 (Berlin)\n \nLocat
 ion:\nOnline\n \nContents:\nThis course builds on the [L1-LS] KNIME Analyt
 ics Platform for Data Scientists (Life Science): Basics by introducing adv
 anced data science concepts using Life Science examples.\nLearn all about 
 flow variables\, different workflow controls such as loops\, switches\, an
 d error handling. Find out how to automatically find the best parameter se
 ttings for your machine learning model\, get a taste for ensemble models\,
  parameter optimization\, and cross validation and see how Date/Time integ
 rations work.\nThis is an instructor-led course consisting of four\, 75-mi
 nutes online sessions run by one of our KNIME data scientists. Each sessio
 n has an exercise for you to complete at home and together\, we will go th
 rough the solution at the start of the following session. The course concl
 udes with a 15-minute wrap up session.\n \nCourse Content:\n• Session 1:
  Flow Variables\n• Session 2: Workflow Control - Loops\, Switch and Try 
 Catch\n• Session 3: Advanced Machine Learning - Ensemble Models\, Parame
 ter Optimization\, and Cross Validation\n• Session 4: Integrated Deploym
 ent &amp\; Date/Time Data\n \nThe course fee is 50€ + VAT.\n \nLearning 
 goals:\nUsage of KNIME in Life Science\, Data Manipulation\, Visualization
 \, Exploration\, Similarity Search\n \nPrerequisites:\nYou should be an ad
 vanced KNIME user and ideally have already built some workflows. This cour
 se doesn’t provide an introduction to KNIME Analytics Platform - it focu
 ses on more advanced data science concepts.\nYou need your own laptop\, id
 eally pre-installed with the latest version of KNIME Analytics Platform\, 
 which you can download at knime.com/downloads.\n \nKeywords:\nData Science
 \, Life Science\, KNIME\, Exploration\n \nTools:\nKNIME
SUMMARY:KNIME Analytics Platform for Data Scientists (Life Science): Advanc
 ed - Online
URL;VALUE=URI:https://www.denbi.de/training/1174-knime-analytics-platform-f
 or-data-scientists-life-science-advanced-online
END:VEVENT
END:VCALENDAR