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100%: Janna Hastings (University College London, London, UK): AI for Scientific Discovery (ISBN: 9781032128771) 2023, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
100%: Hastings, Janna: AI for Scientific Discovery (eBook, PDF) (ISBN: 9781000885095) Taylor & Francis Ltd., in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Hastings, Janna: AI for Scientific Discovery (eBook, ePUB) (ISBN: 9781000885163) in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
AI for Scientific Discovery - 6 Angebote vergleichen
Bester Preis: € 139,41 (vom 28.05.2023)1
AI for Scientific Discovery (eBook, ePUB)
~EN NW EBISBN: 9781000885163 bzw. 100088516X, vermutlich in Englisch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Österreich, zzgl. Versandkosten.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
2
AI for Scientific Discovery (eBook, PDF)
~EN NW EBISBN: 9781000885095 bzw. 1000885097, vermutlich in Englisch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Österreich, zzgl. Versandkosten.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines. AI technologies support discovery science in multiple ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research by underpinning the discovery process with AI-enabled standards and pipelines and supporting the management of large-scale data and knowledge resources so that they can be shared and integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded and thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of number-crunching and statistical inference at a massive scale that AI technologies are best at.
3
AI for Scientific Discovery (2023)
~EN HC NW RPISBN: 9781032128771 bzw. 1032128771, vermutlich in Englisch, CRC Press, gebundenes Buch, neu, Nachdruck.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Janna Hastings is a computer scientist with more than a decade of experience in knowledge representation and reasoning across the life, behavioural and social sciences. She is also a data scientist with a PhD in computational biology and extensive. Books.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Janna Hastings is a computer scientist with more than a decade of experience in knowledge representation and reasoning across the life, behavioural and social sciences. She is also a data scientist with a PhD in computational biology and extensive. Books.
4
AI for Scientific Discovery
DE NW EBISBN: 9781000885163 bzw. 100088516X, in Deutsch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten, published soon.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
AI for Scientific Discovery
ENISBN: 9781000885163 bzw. 100088516X, in Englisch, Vitalsource Technologies, Inc.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
AI for Scientific Discovery
~EN NWISBN: 9781032128771 bzw. 1032128771, vermutlich in Englisch, Taylor & Francis Ltd, neu.
Lieferung aus: Österreich, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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