The Practice of Crowdsourcing
Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pip…
Mehr
CHF 78.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
- ISBN: 978-3-031-01190-0
- EAN: 9783031011900
- Produktnummer: 39047839
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 152 S.
- Masse: H23.5 cm x B19.1 cm x D0.8 cm 298 g
- Abbildungen: Paperback
- Gewicht: 298
Über den Autor
Omar Alonso is a Principal Data Scientist Lead at Microsoft in Silicon Valley where he works on the intersection of social media, information retrieval, knowledge graphs, and human computation. He holds a Ph.D. from the University of California at Davis and an undergraduate degree from UNICEN, Argentina.
3 weitere Werke von Omar Alonso:
Bewertungen
Anmelden