Data science in chemistry artificial intelligence, big data, chemometrics and quantum computing with Jupyter Thorsten Gressling.
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TextSeries: De Gruyter graduatePublisher: Berlin ; Boston De Gruyter, [2021]Copyright date: ©2021Description: 1 online resource (xviii, 522 pages) color illustrationsISBN: 9783110629453; 3110629453Subject(s): Chemistry -- Data processing | Künstliche Intelligenz | Massendaten | Theoretische ChemieGenre/Form: EBSCO eBooks Additional physical formats: Print version:: Data science in chemistry.DDC classification: 542/.85 LOC classification: QD39.3.E46 | G74 2021Other classification: VC 6081 Online resources: Click here to access online Summary: The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity - data science - includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.
The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity - data science - includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.
Description based on online resource; title from PDF title page (De Gruyter, viewed December 12, 2020).
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