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Thanks for a great Analytics and Data Summit 2019 event. We hope to see you next year Feb 25-27, 2020!
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Tuesday, March 12 • 1:10pm - 2:00pm
An Oracle database approach to the Taxi Fare problem

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The Taxi Fare prediction problem is a well known in machine learning (ML): we have to design, train and test a ML model to predict the taxi fare a customer of the NY City cab company will pay for a ride. This is a basic example used in several ML introductory courses and also ML and artificial intelligence (AI) websites as foundation for more advanced topics. In this presentation, we will work with the publicly available data to have it prepared to use the ML functions of Oracle Advanced Analytics embedded in Oracle Database and, more importantly, the new neural network algorithm introduced in 18c. We will see how the data was prepared, some powerful tools included in the Oracle Data Miner component of SQL*Developer, the PL/SQL code involved to create the model and, of course, some testing. All with a live demo.




Speakers
avatar for Jose Rodriguez

Jose Rodriguez

Oracle Project Engineer, Pythian
Jose Rodriguez is a project engineer at Pythian with deep expertise in a wide range of technologies including Oracle, SQL Server, DB2 and PostgreSQL databases. He is passionate about technology and is always looking for the latest tool that will enhance future projects, and deliver... Read More →


Tuesday March 12, 2019 1:10pm - 2:00pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States