#SqlPort upcoming CTP hands on workshop–Cloud #MachineLearning & #DataMining using #AzureML 29 Nov Lisbon

It’s already this Saturday 29 that I’ll be hosting the first AzureML hands-on workshop in Portugal. It has been a pleasant surprise to see that it’s filling up rather quickly, much to thanks to the restless SqlPort community team (Particularly Niko & Paulo amazing work… allowing me to fully  focus on the workshop itself… more pressure for sure… no excuses!).

I’m rather curious to see how it goes, as there will be for sure an interesting mix of profiles attending this workshop. And I hope that will contribute to make this a very interactive, personally demanding  but enjoyable day!

The event is organized by SQLPort, all the resulting revenue will revert to community support & upcoming events.

Check out the workshop agenda below or in the event page here . The event will take place at Microsoft Portugal.

Also disclosing that  every participant will be granted access to my very own personal notes & best highlights on some of my favorites data books… (go to love Amazon/Kindle platform)  all of which I’m reviewing right now  ;) .

Data Science for Business: What you need to know about data mining and data-analytic thinking     The Signal and the Noise: Why So Many Predictions Fail-but Some Don't      Naked Statistics: Stripping the Dread from the Data     

See you there!

Rui

CTP – Community Technology Preview 2014 Edition – Cloud Machine Learning & Data Mining using AzureML

SQLPort

Sábado, 29 de Novembro de 2014 das 09:00 às 17:30 (WET)

Lisboa, Portugal

 

Abstract

Full one day hands-on workshop including introductory course to Machine Learning process, use cases, models & algorithms and also how to model, test & deploy Machine Learning solutions with the new Microsoft AzureML cloud service.


Objectives

  • Understand Machine Learning & Data Science Fundamentals
  • Model & Deploy Machine Learning Solutions with AzureML, ML Studio & AzureML Web Services


Attendee’s pre-requisites/profile

  • Data Analysts & Enthusiasts, Business Intelligence Professionals, Data Scientists & Machine Learning


Contents

  • Introduction to Data Science and Machine Learning
  • Machine Learning Use Cases, Models & Workflow
  • Introduction to Azure Machine Learning & ML Studio
    • o Data Cleansing & Transformation
    • o Data Analysis & Visualization
    • o Machine Learning Models: Classification, Regression, Clustering, & Text Mining
    • o Model Tuning, Scoring & Evaluation
    • o Using R in Azure ML
    • o Publishing Models as Web Services
    • o Using Excel with Azure ML
    • Books & Resources for AzureML, Data Science & Machine Learning
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About Rui Quintino
Developer & Software Architect @ DevScope

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