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Ad Click Prediction Using Spark
This Webinar is over| Date | Feb 23, 2017 |
| Time | 01:00 PM EDT |
| Cost | Free |
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Online
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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
Speakers
Suresh Babu, Chief Revenue Officer, Imaginea
Sachin Tyagi, Head – Data Analytics, Imaginea
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
Speakers
Suresh Babu, Chief Revenue Officer, Imaginea
Sachin Tyagi, Head – Data Analytics, Imaginea
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