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Machine Learning in Engineering @ TUHH
Machine Learning in Engineering @ TUHH
  • MLE
  • News
  • Team
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  • Aktivitäten
    MLE-Days Train Your Engineering Network Archiv
  • Forschung
    Themen Publikationen Kompetenzen Methoden
  • Arbeitsgruppen
    HULKs@TUHH - RoboCup SPL Team AG Physics-based Machine Learning
  • Transfer
    Angebote Komponenten Partnerschaft
  • Kontakt
Overview
  • Preface
I. Data Science Fundamentals
  • Introduction to R, RStudio IDE & GitHub
  • Intro to the tidyverse
  • Data Acquisition
  • Data Wrangling
  • Data Visualization
II. Machine Learning
  • Machine Learning Fundamentals
  • Supervised ML - Regression (I)
  • Supervised ML - Regression (II)
  • Automated Machine Larning with H2O (I)
  • Automated Machine Learning with H20 (II)
  • Performance Measures
  • Explaining Black-Box Models With LIME
  • Deep Learning
III. Reporting
  • Reporting with Shiny
  • Contents

Reporting with Shiny

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Deep Learning

Last updated on Sep 22, 2020

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