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// Learning To Rank training
Elasticsearch Integration
Elasticsearch Integration
With the Learning To Rank (or LTR for short) plugin, you can configure and run machine-learned ranking models in Elasticsearch. The module also supports feature extraction inside Elasticsearch. The only thing you need to do outside Elasticsearch is to train your own ranking model.
This training illustrates how you can use the Elasticsearch LTR component to integrate machine learning with your search pipeline.
PREREQUISITES
• Basic understanding of Search Engines and Machine Learning
WHAT YOU WILL LEARN
• How to integrate Machine Learning with your Search Engine to tune your relevance function
• Ranking models life-cycle (Training and Deploy)
• How to test your ranking models Offline/Online
• How to Build your Elasticsearch LTR Query
INTENDED AUDIENCE
• Technical Managers
• Data scientists
• Software Engineers
• Developers
• Machine Learning passionates
Based on experience with leading companies including
Watch the intro video
Pre-recorded
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- Top expert trainers
- Q&A by e-mail
- Certificate of Attendance
Public Training
£ 180,00
Early bird price [before 7/09/2023] - original price £250SCHEDULE
27th September 2023
5:00 - 7:00 PM GMT
By Purchasing the training You Accept our Training’s Terms and Conditions.
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27th September 2023
5:00 - 7:00 PM GMT
- Live on Zoom
- Top expert trainers
- Certificate of Attendance
By Purchasing the training You Accept our Training’s Terms and Conditions.
Private
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If you are looking for intensive sessions tailored on your (or your team) experience, then private training is your perfect choice!
You can choose between online or live training.
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- In-presence or Online
- Tailored training
- Top expert trainers
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// Learning To Rank Elasticsearch Integration
Our Trainers
Alessandro Benedetti
APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER
Alessandro has been involved in designing and developing search-relevant solutions from 2010.
Over the years he has worked on various projects, with various open source technologies aiming to build search solutions able to satisfy the user information needs, often integrating such solutions with machine learning and artificial intelligence technologies.
Anna Ruggero
R&D Search Software Engineer, her focus is on the integration of Information Retrieval systems with advanced Machine Learning, Natural Language Processing and Data Mining algorithms. She likes to find new solutions that integrate her work as a Search Consultant with the latest Academia studies.
Full Program
- Evaluation and Explainability
- Elasticsearch Integration
- Features Management
- Ranking Models Management
- How to rerank search results
- Extract features from the results
- Hands On Exercises
Frequently Asked Question
The Learning To Rank Elasticsearch Integration trainings will take place live on zoom!
We are working on being able to provide a recording of the training for those interested.
Everyone can participate on this training, the only prerequisites are written just over there!
Learning To Rank Elasticsearch Integration training last 4 hours.
You will be able to ask every question you have during the training!
Your teachers will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
– Andrea Gazzarini, RRE Creator with more than 15 years of experience in various software engineering areas.
Sure, at the end of the training you will receive a certificate of attendance by e-mail.
If you can’t attend last minute you can contact us and reschedule on a different date with our team. Bear in mind this will have to be a private training.
If you need it, you can consult our Training’s Terms and Conditions.
Yes, you can contact us and find the best option for you and your team!