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Data Science: Recommender Systems in Action

Free webinar to help you learn how to leverage Big Data and predictive analytics through Recommendation Engines to enhance your customers’ experience and boost sales. These days, retailers have an opportunity to collect and analyze consumer information from a wide range of sources, deepen their understanding of customer preferences and thus, more accurately identify shopping patterns and deliver highly targeted, location-based promotions, in real time. Recommender systems change the way online retailers communicate with their customers. Find out how by joining the webinar
Recorded Nov 6 2014 36 mins
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Presented by
Daniil Shash, Data Science Product Manager, ELEKS
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  • Data Science: Recommender Systems in Action Recorded: Nov 6 2014 36 mins
    Daniil Shash, Data Science Product Manager, ELEKS
    Free webinar to help you learn how to leverage Big Data and predictive analytics through Recommendation Engines to enhance your customers’ experience and boost sales. These days, retailers have an opportunity to collect and analyze consumer information from a wide range of sources, deepen their understanding of customer preferences and thus, more accurately identify shopping patterns and deliver highly targeted, location-based promotions, in real time. Recommender systems change the way online retailers communicate with their customers. Find out how by joining the webinar
Webinars on Data Science for business challenges and opportunities
A series of webinars on Data Science for Businesses from ELEKS will help you explore and reveal hidden opportunities with unstructured data that can leverage radical improvements for businesses. Data Science webinars include the decision making based on data insights, effective Big Data storing processing and analysis, enhancing customers' experience using the potential of predictive analytics.

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  • Title: Data Science: Recommender Systems in Action
  • Live at: Nov 6 2014 5:00 pm
  • Presented by: Daniil Shash, Data Science Product Manager, ELEKS
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