English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This tutorial overviews principles behind recent works on training andmaintaining machine learning models over relational data, with an emphasis onthe exploitation of the relational data structure to improve the runtimeperformance of the learning task.  The tutorial has the following parts:  1) Database research for data science  2) Three main ideas to achieve performance improvements  2.1) Turn the ML problem into a DB problem  2.2) Exploit structure of the data and problem  2.3) Exploit engineering tools of a DB researcher  3) Avenues for future research

Machine Learning over Static and Dynamic Relational Data