Power BI Automated Machine Learning (AutoML)

When:  Jan 6, 2020 from 06:30 PM to 08:30 PM (ET)
Associated with  Atlanta Power BI Group

Overview:

With the growing demand for predictive analytics, Automated Machine Learning (AutoML) aims to simplify this process and democratize Machine Learning so business users can create their own basic predictive models. Join this presentation to learn how to apply AutoML in Power BI Premium to predict the customer probability to purchase a product. I'll show you the end-to-end AutoML process, including:

  • Create a dataflow
  • Choose a field to predict
  • Choose a model type
  • Select input variables (features)
  • Train the model
  • Apply the model to new data
  • Bonus: Integrate Power BI with AzureML

Speaker:

Through his Atlanta-based company Prologika (https://prologika.com), a Microsoft Gold Partner in Data Analytics, Teo Lachev helps organizaitons make sense of their most valuable asset: their data. His strategy formulation, trusted advisory and mentoring, design and implementation services empower clients to apply effectively data analytics in order to understand, improve, and transform their business processes. Teo has authored and co-authored several books on organizational and self-service data analytics, and he has been leading the Atlanta Microsoft BI and Power BI group since he founded it in 2010. Teo has been a Microsoft Most Valued Professional (MVP) Data Platform since 2004.

Sponsor:

Prologika is one of the most trusted names in Data Analytics. Our clients, from small businesses to Fortune 100 enterprises, derive tremendous value from our services. Our mission is to help organizations make sense of data by applying the latest technologies for descriptive and predictive analytics and get actionable insights. Your organization will spend less time mining for information and be better equipped to make sound business decisions. https://prologika.com


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Location

Microsoft Avalon
8000 Avalon Boulevard Suite 900
Alpharetta, GA 30009

Contact

Ed Watson
3523035346
ed@sqlgator.com