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// Learning To Rank training
Train, Evaluate and Explain your Learning to Rank Model
Train, Evaluate and Explain your Learning to Rank Model
In this training, you are going to learn how to train, evaluate and explain your learning to rank model. You will see the end-to-end pipeline, from the language model upload to its usage in the Neural Search, with real examples and a hands-on tutorial.
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 23/08/2023] - original price £250SCHEDULE
13th September 2023
5:00 - 7:00 PM GMT+1
By Purchasing the training You Accept our Training’s Terms and Conditions.
buy now
13th September 2023
5:00 - 7:00 PM GMT+1
- 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
- Certificate of Attendance
// improve your skills
Buy more, pay less!
This training is part of the Learning to Rank FULL TRAINING.
You can choose to buy this session alone, or to buy more session at once with a huge discount. The more you buy, the less you pay.
SESSION ONE
Intro and How to Build Your Training Set
SESSION TWO
Train, Evaluate and Explain Your Learning to Rank Model
SESSION THREE
Learning to Rank Apache Solr Integration
SESSION FOUR
Learning to Rank Elasticsearch Integration
BUY THREE SESSIONS [APACHE SOLR]
450,00 £
Buy sessions 1-2-3 of the Learning to Rank Full Training
BUY THREE SESSIONS [ELASTICSEARCH]
450,00 £
Buy sessions 1-2-4 of the Learning to Rank Full Training
Based on experience with leading companies including
Based on experience with leading companies including
// feedback
"The training has prepared me well to tackle my own project. It helped me to understand how to set up the project and which tools or algorithms I can use for it.
The content of the training is quite compact, but not overloaded, so that there was also time for individual questions.
I particularly liked the fact that Alessandro shared his experiences from older projects, which allowed him to point out potential problems."
Julia Silberberg
Jobware
PREREQUISITES
• Basic understanding of Search Engines and Machine Learning.
• Theory behind the training and test set creation for learning to rank.
WHAT YOU WILL LEARN
• Which are the most common learning to rank libraries
• How offline testing works for business
• How to practically create a training and test set
• How to train and evaluate a model
• How online testing works for business
• How to explain your learning to rank model with SHAP
INTENDED AUDIENCE
• Software engineers
• Data scientists
• Developers
// Train, Evaluate and Explain your Learning to Rank Model
Your 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
- Available and most common learning to rank libraries and approaches
- Offline testing for business
- Build a training and test set with practical code
- Model evaluation metrics
- Train and test the model with practical code
- Common mistakes
- Online testing for business
- Model explainability exploiting the SHAP library with practical code
Frequently Asked Question
The Learning To Rank training about Train, Evaluate and Explain your Learning to Rank Model 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 training about Train, Evaluate and Explain your Learning to Rank Model last around 2 hours, with 20 minutes of Q&A.
Yes, the training includes a 20 minutes Q&A!
Your teachers will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
– Anna Ruggero, R&D Software Engineer
Sure, at the end of the training you will receive a badge 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!