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Deep Learning for Search – Open Source Approaches 2022

September 22 @ 3:00 pm - 7:00 pm

£ 700
// Deep Learning for Search
Open Source Approaches

How can you run Neural Search with currently available Open Source technologies?
This training explores the state of the art of how this innovative approach is supported by Open Source search engines such as Elasticsearch, Apache Solr and Vespa.

PREREQUISITES

• Basic understanding of Search Engines and Machine Learning

WHAT YOU WILL LEARN

• How to use pre-trained language models and fine tune them for your specific use case
• The pros/cons of Document Expansion
• The pros/cons of Neural Term Scoring
• How to do that with Apache Lucene/Solr and Elasticsearch

INTENDED AUDIENCE

• Technical Managers
• Technical Team Leaders
• Data scientists
• Software Engineers
• Developers

Based on experience with leading companies including

// schedule

NO PUBLIC TRAINING SCHEDULED

If you missed the training, you can easily ask for a private one by contacting us on the button below.
// schedule

PUBLIC TRAINING

22nd September 2022

from 03:00 to 07:00 GMT +1
If you can't participate, you can easily ask for private training by contacting us on the button below.
// book now

EARLY BIRD PRICE

£ 700

£ 500

Hurry up! Time is running out

Deadline: 2nd September 2022 | 11:59 PM (GMT+1)

// pay now

1x Deep Learning for Search – Open Source Approaches – Training

Price: 500 GBP

// Deep Learning for Search - Open Source Approaches

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.

Andrea Gazzarrini

RRE CREATOR

RRE Creator Andrea Gazzarini is a curious software engineer, mainly focused on the Java language and Search technologies. With more than 15 years of experience in various software engineering areas, his adventure in the search world began in 2010, when he met Apache Solr and later Elasticsearch.    

Full Program

  • Apache Lucene Implementation detail and current development status.
  • Apache Solr implementation details, current development status and usage examples(we are the authors of the neural search Apache Solr contributions).
  • Elasticsearch implementation details and development status.
  • OpenSearch implementation details and development status.
  • Vespa implementation details, current development status and usage examples.
Frequently Asked Question

The Deep Learning for Search Open Source Approaches 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!

Deep Learning for Search Open Source Approaches training last 4 hours.

You will be able to ask every question you have during the training!

Your teacher will be:
  – Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.

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.  

Yes, you can contact our Sales responsible Oriol Serra and find the best option for you and your team!

Details

Date:
September 22
Time:
3:00 pm - 7:00 pm
Cost:
£ 700
Event Category:

Organizer

Sease Ltd

Venue

online