Machine learning benötigt Daten
Bemerkungen
The first is that the more data we have, the more we
can learn. No data? Nothing to learn. Big data? Lots to learn. That's
why machine learning has been turning up everywhere, driven by
exponentially growing mountains of data. If machine learning was
something you bought in the supermarket, its carton would say: “Just
add data.”
Von Pedro Domingos im Buch The Master Algorithm (2015) im Text The Machine-Learning Revolution Zitationsgraph
5 Erwähnungen
- The Master Algorithm - How the Quest for the Ultimate Learning Machine Will Remake Our World (Pedro Domingos) (2015)
- On the Dangers of Stochastic Parrots - Can Language Models Be Too Big? (Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell) (2021)
- Freiheit für alle - Das Ende der Arbeit wie wir sie kannten (Richard David Precht) (2022)
- «Wie erkennen wir, wenn ein System wie GPT die Welt versteht?» (Sam Altman, Jakob von Lindern, Jochen Wegner) (2023)
- On the Limits of Artificial Intelligence (AI) in Education (Neil Selwyn) (2024)