Automated Machine Learning (AutoML)

Published 2020-03

Some organizations want to move away from traditional machine learning methods, which are time-consuming and difficult and require data scientists, specialists in A.I. fields and engineers.

Source

Verdict

persistedThe same trend is listed again within the publisher's next two editions (D33).

Same subject listed again in 2021.

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

The same forecast in other editions

2019rank 41
2020rank 39
2021rank 52
2023rank 261

All captured fields

rank: 39
section: Artificial Intelligence
subsection: Processes, Systems and Computational Neuroscience
subject: Automated Machine Learning (AutoML)
page: 43
confidence: medium
note: Title from the contents list in the SlideShare transcript of the publisher upload; order and section from contents page numbers. Quote added 2026-10-02 from the full slide transcript of the publisher upload (SlideShare, Wayback capture of the newer page format); source_url points at the section that holds the page.