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Business Intelligence

Webinar: Ad Click Prediction Using Spark

Ad Click Prediction Using Spark

webinar description

Click prediction algorithms are essential & used extensively for sponsored search and real-time ad bidding. The current advertising scenario often makes the predictions redundant, if they are not near real-time.

In this webinar, we explain the application of Spark’s machine learning pipeline for predicting Click Through Rates (CTRs). We also cover the many challenges you may face & how to overcome them.

Key takeaways

Predictive algorithm: How to overcome challenges faced while running predictive algorithms on sparse data

Machine learning: What are the advantages of using Spark machine learning pipeline API for CTR prediction

Non-distributed frameworks: Find out the limitations of using non-distributed Machine
Learning frameworks

Reasons to attend the webinar
  • Predictive algorithm: How to overcome challenges faced while running predictive algorithms on sparse data

  • Machine learning: What are the advantages of using Spark machine learning pipeline API for CTR prediction

  • Non-distributed frameworks: Find out the limitations of using non-distributed Machine Learning frameworks

Speakers:
Imaginea
Suresh Babu, Chief Revenue Officer
23

Feb

2017

10:00 - 10:30 AM
(GMT -7)

(Duration - 30 minutes)

ATTENDANCE FEE - FREE

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