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Hello Learning to Rank (LTR), Self Led Online Training

In this two part training course we go hands on with machine learning tools to improve relevance. Using an open source search engine, we see our models come to life, see the pitfalls of letting machines control relevance, and work to mitigate those pitfalls. From Hello World to Learning to Rank Lessons you can avoid learning the hard way. See how you can apply open source tooling to optimize your search results with machine learning. Ideal for production focused data scientists, relevance engineers, machine learning engineers, or search developers who need Learning to Rank (LTR) training. Some familiarity with a search engine is expected.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

Public LTR trainings are delivered via the online platform Moodle. This combines prerecorded video from members of the OSC team, slides, labs and quizzes so you make sure you’ve covered all the material.

Learn how to:

Interact with the Solr, OpenSearch & Elasticsearch Learning to Rank plugins

Use machine learning to optimize relevance

Avoid common pitfalls on Learning to Rank projects

Avoid ‘garbage-in, garbage out’ – generating great features and training data

Carry out hands-on work with Learning to Rank models

Integrate click models and conversions to generate meaningful training data

This training is appropriate for members of the search team that have an interest in optimizing search with advanced programming techniques and machine learning:

Search Engineers

Data Scientists

Data Engineers that use the search engine

Machine learning engineers

Relevance engineers

Product team members wanting exposure to machine learning methods

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