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Gerhard's Samples

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This page shows a list of Data Science, Machine Learning and Analytics Topics I am currently working on. You find a collection of links, contributions and presentations. This site is updated regularly with new content. Feedback and knowledge exchange is welcome! Gerhard Svolba.

News and Most recent Material


Topic 01 - Applying Data Science

  • Applying text analytics with SAS Contextual Analysis to the content of my book chapters (German| English) delivers impressive results.
  • Download the presentation of KSFE 2017 on "SAS Text Analytics findet Zusammenhänge in Texten – Ergebnisse eines Selbstversuchs"

Topic 02 - Deep Learning, Reinforcement Learning, Self Learning

  • Download the presentation of KSFE 2017 on "Kann SAS Ihre Handschrift lesen? Machine Learning am Beispiel von Stacked Denoising Autoencoders"
  • <more content to be added>

Topic 03 - Data Quality for Analytics and Data Science

Topic 4 - Visual and Interactive Data Quality Profiling

Topic 05 - Data Preparation for Analytics and Data Science and Building Analytic Base Tables


Topic 06 - SAS Coding Tipps and Tricks - Using SAS in Eduction

  • Download the presentation and the paper of KSFE 2016 on "Simulationen und Mathematische Programmierung mit SAS"
  • Download the presentation and the paper of KSFE 2016 on "Die besten Tipps und Tricks aus meinen liebsten SAS Press Büchern"
  • Moving from SAS 9 to SAS Viya: <to be added soon>
  • Navigate to the MAKEWIDE and MAKELONG macro
  • See my samples on support.sas.com
  • Also find a sample for an adpated version of the WEEKDAY function (based on PROC FCMP) (Monday = 1 instead of Sunday=1)

Topic 07 - Self Service Analytics

Topic 08 - Monte Carlo Simulations and Understand Complex Systems through Simulations

  • Download the presentation of KSFE 2017 on "Gewinnen beim Monopoly® Spiel – Alles nur Zufall? Oder gibt es doch ein paar Muster, die man kennen sollte?"


Topic 09 - Allows different User Types to Use Analytics with SAS Viya

Topic 10 - Analytic Modeling with SAS

Topic 11 - Building, Retraining and Maintaining Models Automatically and the SAS Analytic Factory

Topic 12 - Traveling with my Books around the World - More Non-Sense than Content :-)


KSFE Presentations of Gerhard Svolba (in German)

  • Download the presentation of KSFE 2017 on "Gewinnen beim Monopoly® Spiel – Alles nur Zufall? Oder gibt es doch ein paar Muster, die man kennen sollte?"
  • Download the presentation of KSFE 2017 on "SAS Text Analytics findet Zusammenhänge in Texten – Ergebnisse eines Selbstversuchs"
  • Download the presentation of KSFE 2017 on "Kann SAS Ihre Handschrift lesen? Machine Learning am Beispiel von Stacked Denoising Autoencoders"
  • Download the presentation and the paper of KSFE 2016 on "Simulationen und Mathematische Programmierung mit SAS"
  • Download the presentation and the paper of KSFE 2016 on "Die besten Tipps und Tricks aus meinen liebsten SAS Press Büchern"
  • Download the presentation and the paper of KSFE 2015: Mehr als linear oder logistisch – ausgewählte Möglichkeiten neuer Regressionsmethoden in SAS -- Read the Blog-Entry in the Mehr-Wissen Blog.
  • Download the presentation and the paper of KSFE 2013: Das JMP Benutzerinterface für Strukturgleichungsmodelle
  • Download the presentation and the paper of KSFE 2013: Sie wollen rechtzeitig ein Bild über die Datenqualität Ihrer Analysedaten haben? – SAS und JMP helfen Ihnen dabei.
  • Download the presentation and the paper of KSFE 2008: Datenaufbereitung für Analytik.

Extension Nodes for SAS Enterprise Miner

  • Extension Nodes for SAS Enterprise Miner 5.x, 6.x and 7.x are available.
    • Data Preparaton for Analytics Nodes like Trend Regression, Correlation or Transposing from the book Data Preparation for Analytics
    • Gerhard's tools including a Target BarChart, and a visualisation technique for association analysis

News in SAS/STAT

Samples written by Gerhard at support.sas.com

Graphical Visualization with SAS(r)IML Studio

  • Perform interactive graphical visualization of your data box plots, mosaic plots and bar charts.
  • See how these graphs can be automatically created and positoned with program statements.
  • Navigate to the SAS StatStudio Demo.