Data Conference Databasea Query.Farm index
Speakers

Mate Timar

Events1
Conferences1
Talks1
Years active2023

Appearances by year

201920202021202220232024202520262027
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Jun 2, 2023PyData London 2023PyDatatutorialFrom Passive to Active: Exploring the Benefits of Active Learning in Data Science
Active Learning is a powerful technique in the field of data science that enables efficient use of labelling resources. In this 90-minute-long hands-on…Show less

Active Learning is a powerful technique in the field of data science that enables efficient use of labelling resources. In this 90-minute-long hands-on tutorial, we will provide a step-by-step guide on how to apply basic Active Learning techniques for a document classification problem.

Frequent co-speakers

No one else spoke at two or more of the same events.

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.