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Learning to Rank Training

Jul 6 @ 9:00 am - Jul 9 @ 1:00 pm EDT

$100

***APPLY HERE ***

Learning to Rank training course will give your team the ability to use open source Machine Learning tools to improve search relevance. This class helps you understand how to work with Solr/Elasticsearch’s Learning to Rank plugins, train models, avoid common pitfalls, learn how to carry out feature engineering, and how to generate high quality training data from user search behavior.

***SEATS ARE VERY LIMITED (12), Preference given to techfrederick members***

Training: Learning to Rank

Date: July 6 – 9, 2020 9am-1pm

Location: Your remote workspace

Instructors: Open Source Connections, Doug Turbull

Cost: $100, payment link will be sent upon application approval

*** As this training is funded by State of MD EARN Grant funding, the information requested throughout the registration and participation process is REQUIRED by the State of Maryland for their tracking and statistical purposes. ***

Learning to Rank training course will give your team the ability to use open source Machine Learning tools to improve search relevance. This class helps you understand how to work with Solr/Elasticsearch’s Learning to Rank plugins, train models, avoid common pitfalls, learn how to carry out feature engineering, and how to generate high quality training data from user search behavior.

Details

Start:
Jul 6 @ 9:00 am EDT
End:
Jul 9 @ 1:00 pm EDT
Cost:
$100
Website:
https://techfrederick.org/ltr/

Venue

Your Remote Workspace

Organizer

ASPIRE
Email:
bwarburton@techfrederick.org
Website:
techfrederick.org
  1. Jul
    06

    Learning to Rank Training

    Jul 6 @ 9:00 am - Jul 9 @ 1:00 pm EDT
  2. Jul
    18

    Meetup – Open Workshop

    Jul 18 @ 10:00 am - 12:00 pm EDT
  3. Aug
    12

    techfrederick Sales & Marketing Happy Hour and Speaker Series

    Aug 12 @ 5:00 pm - 7:00 pm EDT
  4. Aug
    15

    Meetup – Open Workshop

    Aug 15 @ 10:00 am - 12:00 pm EDT
  5. Sep
    02

    techfrederick Quarterly Networking Event

    Sep 2 @ 5:00 pm - 7:00 pm EDT

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