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// Search Quality Evaluation and Explainability training
This training covers the main concepts and dives into the technical details to implement such solutions using open source software.
You will be able to evaluate and explain the behaviour of your search system and machine-learned ranking models is extremely valuable in the process of making progress in terms of search relevance and performance.
PREREQUISITES
• Software engineering background
• Familiarity with search engine technologies
WHAT YOU WILL LEARN
• How to integrate evaluation technologies/tools with your ecosystem.
• How to run Feature Extraction
• How to use Open Source Technologies to explain your model
INTENDED AUDIENCE
• Technical Managers
• Technical Team Leaders
• Software Engineers
• Developers
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
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Unfortunately, the dates of this training have already passed, and there is no other schedule ahead. If you wish to attend this training, we recommend to ask for a private training. If you want to stay up to date on our training sessions, subscribe to our newsletter and you will always be aware of what is happening at the Sease.
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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
// Search Quality Evaluation and Explainability
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 SOFTWARE ENGINEER
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
- Offline Model Evaluation Metrics
- Open Source Tools
- Online Model Evaluation
- A/B Testing
- Interleaving
- Explain your Model
- Overview
- Open Source Libraries
- Hands On Exercises
- Let’s explain a model using TreeSHAP
Frequently Asked Question
The Search Quality Evaluation and Explainability 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!
Search Quality Evaluation and Explainability 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.
– Anna Ruggero, R&D Search Software Engineer, focuses on the integration of Information Retrieval systems.
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!