Session I: Machine Learning for Retail

Conducted September 29th
at 10:00am (PST)

Machine Learning (ML) and Artificial Intelligence (AI) are here and are impacting how organizations prepare for this shift in technology. The beauty is one does not have to be a technical expert to understand the inputs and outputs of ML.

This web event is intended for business analyst, data analyst, and anyone interested in learning about Machine Learning. Our goal is to explain the capabilities and limitations of ML and provide real-world examples on how ML can be applied directly to the Retail Industry.



After this web event you will:

  • Attain an understanding of popular machine learning algorithms
  • Understand the potential of applying ML and AI  to everyday tasks
  • Understand the current opportunities and limitations of ML


This session will be led by Mark Kezner, who is an expert in Machine Learning and eDiscovery. Mark is a highly regarded instructor and practitioner.

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Mark Kezner


About the Presenter

Mark Kezner is an experienced/hands-on BigData architect and published Author. He has been developing software for over 20 years in a variety of technologies (enterprise, web, HPC) and for a variety of verticals (healthcare, O&G, legal, financial). He currently focuses on Hadoop, BigData, NOSQL and Amazon Cloud Services.

Mark stays active in the Hadoop and Startup communities. He runs Houston Hadoop Meetup. Mark contributes to a number of Hadoop-based projects.  He has delivered hands-on, consultative training engagements for a number of Bay Area startups, and other organizations such as T-Mobile, GHX, Cision, and lately Intel.