Learning to Rank training course will give your team the ability to use open source Machine Learning tools to improve search relevance. This class helps you understand how to work with Solr/Elasticsearch’s Learning to Rank plugins, train models, avoid common pitfalls, learn how to carry out feature engineering, and how to generate high quality training data from user search behavior.
***SEATS ARE VERY LIMITED (12), Preference given to techfrederick members***
Training: Learning to Rank
Date: July 6 – 9, 2020 9am-1pm
Location: Your remote workspace
Instructors: Open Source Connections, Doug Turbull
Cost: $100, payment link will be sent upon application approval
*** As this training is funded by State of MD EARN Grant funding, the information requested throughout the registration and participation process is REQUIRED by the State of Maryland for their tracking and statistical purposes. ***
Learning to Rank training course will give your team the ability to use open source Machine Learning tools to improve search relevance. This class helps you understand how to work with Solr/Elasticsearch’s Learning to Rank plugins, train models, avoid common pitfalls, learn how to carry out feature engineering, and how to generate high quality training data from user search behavior.