Data science in chemistry: artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; Boston
De Gruyter
[2021]
|
| Series: | De Gruyter Textbook
|
| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 Volltext |
| 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 |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 12. Dez 2020) |
| Physical Description: | 1 Online-Ressource (XVIII, 522 Seiten) |
| ISBN: | 9783110629453 9783110630534 |
| DOI: | 10.1515/9783110629453 |
Staff View
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047112109 | ||
| 003 | DE-604 | ||
| 005 | 20210218 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210129s2021 xx o|||| 00||| eng d | ||
| 020 | |a 9783110629453 |c PDF |9 978-3-11-062945-3 | ||
| 020 | |a 9783110630534 |c EPUB |9 978-3-11-063053-4 | ||
| 024 | 7 | |a 10.1515/9783110629453 |2 doi | |
| 035 | |a (ZDB-23-DGG)9783110629453 | ||
| 035 | |a (OCoLC)1235888420 | ||
| 035 | |a (DE-599)BVBBV047112109 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1043 |a DE-1046 |a DE-858 |a DE-859 |a DE-860 |a DE-739 |a DE-83 | ||
| 084 | |a VC 6050 |0 (DE-625)147081:253 |2 rvk | ||
| 084 | |a VC 6080 |0 (DE-625)147082:253 |2 rvk | ||
| 084 | |a VC 6081 |0 (DE-625)147082:254 |2 rvk | ||
| 100 | 1 | |a Gressling, Thorsten |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data science in chemistry |b artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |c Thorsten Gressling |
| 264 | 1 | |a Berlin ; Boston |b De Gruyter |c [2021] | |
| 264 | 4 | |c © 2021 | |
| 300 | |a 1 Online-Ressource (XVIII, 522 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a De Gruyter Textbook | |
| 500 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 12. Dez 2020) | ||
| 520 | |a 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 | ||
| 546 | |a In English | ||
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Massendaten | |
| 650 | 4 | |a Theoretische Chemie | |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Computational chemistry |0 (DE-588)4290091-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Chemie |0 (DE-588)4009816-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Quantenchemie |0 (DE-588)4047979-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Chemometrie |0 (DE-588)4299578-4 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Data Science |0 (DE-588)1140936166 |D s |
| 689 | 0 | 1 | |a Chemie |0 (DE-588)4009816-3 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Chemometrie |0 (DE-588)4299578-4 |D s |
| 689 | 1 | 1 | |a Quantenchemie |0 (DE-588)4047979-1 |D s |
| 689 | 1 | 2 | |a Computational chemistry |0 (DE-588)4290091-8 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Chemie |0 (DE-588)4009816-3 |D s |
| 689 | 2 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
| 689 | 2 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-11-062939-2 |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9783110629453 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-23-DGG | ||
| 912 | |a ZDB-23-DPC | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032518548 | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-1043 |p ZDB-23-DGG |q FAB_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-1046 |p ZDB-23-DGG |q FAW_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-858 |p ZDB-23-DGG |q FCO_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-859 |p ZDB-23-DGG |q FKE_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-860 |p ZDB-23-DGG |q FLA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9783110629453 |l DE-739 |p ZDB-23-DGG |q UPA_PDA_DGG |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1824507762057412608 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Gressling, Thorsten |
| author_facet | Gressling, Thorsten |
| author_role | aut |
| author_sort | Gressling, Thorsten |
| author_variant | t g tg |
| building | Verbundindex |
| bvnumber | BV047112109 |
| classification_rvk | VC 6050 VC 6080 VC 6081 |
| collection | ZDB-23-DGG ZDB-23-DPC |
| ctrlnum | (ZDB-23-DGG)9783110629453 (OCoLC)1235888420 (DE-599)BVBBV047112109 |
| discipline | Chemie / Pharmazie |
| discipline_str_mv | Chemie / Pharmazie |
| doi_str_mv | 10.1515/9783110629453 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047112109</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210218</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210129s2021 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110629453</subfield><subfield code="c">PDF</subfield><subfield code="9">978-3-11-062945-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110630534</subfield><subfield code="c">EPUB</subfield><subfield code="9">978-3-11-063053-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110629453</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-23-DGG)9783110629453</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1235888420</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047112109</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1043</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">VC 6050</subfield><subfield code="0">(DE-625)147081:253</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">VC 6080</subfield><subfield code="0">(DE-625)147082:253</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">VC 6081</subfield><subfield code="0">(DE-625)147082:254</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gressling, Thorsten</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science in chemistry</subfield><subfield code="b">artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter</subfield><subfield code="c">Thorsten Gressling</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ; Boston</subfield><subfield code="b">De Gruyter</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVIII, 522 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter Textbook</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 12. Dez 2020)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Massendaten</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Theoretische Chemie</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Computational chemistry</subfield><subfield code="0">(DE-588)4290091-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Chemie</subfield><subfield code="0">(DE-588)4009816-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Quantenchemie</subfield><subfield code="0">(DE-588)4047979-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Chemometrie</subfield><subfield code="0">(DE-588)4299578-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Chemie</subfield><subfield code="0">(DE-588)4009816-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Chemometrie</subfield><subfield code="0">(DE-588)4299578-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Quantenchemie</subfield><subfield code="0">(DE-588)4047979-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Computational chemistry</subfield><subfield code="0">(DE-588)4290091-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Chemie</subfield><subfield code="0">(DE-588)4009816-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-11-062939-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DPC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032518548</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAB_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAW_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-858</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FCO_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FKE_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FLA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9783110629453</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">UPA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047112109 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:26:44Z |
| indexdate | 2025-02-19T17:29:52Z |
| institution | BVB |
| isbn | 9783110629453 9783110630534 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032518548 |
| oclc_num | 1235888420 |
| open_access_boolean | |
| owner | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 DE-83 |
| owner_facet | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 DE-83 |
| physical | 1 Online-Ressource (XVIII, 522 Seiten) |
| psigel | ZDB-23-DGG ZDB-23-DPC ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | De Gruyter |
| record_format | marc |
| series2 | De Gruyter Textbook |
| spelling | Gressling, Thorsten Verfasser aut Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter Thorsten Gressling Berlin ; Boston De Gruyter [2021] © 2021 1 Online-Ressource (XVIII, 522 Seiten) txt rdacontent c rdamedia cr rdacarrier De Gruyter Textbook Description based on online resource; title from PDF title page (publisher's Web site, viewed 12. Dez 2020) 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 In English Künstliche Intelligenz Massendaten Theoretische Chemie Data Mining (DE-588)4428654-5 gnd rswk-swf Computational chemistry (DE-588)4290091-8 gnd rswk-swf Chemie (DE-588)4009816-3 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Quantenchemie (DE-588)4047979-1 gnd rswk-swf Chemometrie (DE-588)4299578-4 gnd rswk-swf Data Science (DE-588)1140936166 s Chemie (DE-588)4009816-3 s DE-604 Chemometrie (DE-588)4299578-4 s Quantenchemie (DE-588)4047979-1 s Computational chemistry (DE-588)4290091-8 s Data Mining (DE-588)4428654-5 s Erscheint auch als Druck-Ausgabe 978-3-11-062939-2 https://doi.org/10.1515/9783110629453 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Gressling, Thorsten Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter Künstliche Intelligenz Massendaten Theoretische Chemie Data Mining (DE-588)4428654-5 gnd Computational chemistry (DE-588)4290091-8 gnd Chemie (DE-588)4009816-3 gnd Data Science (DE-588)1140936166 gnd Quantenchemie (DE-588)4047979-1 gnd Chemometrie (DE-588)4299578-4 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4290091-8 (DE-588)4009816-3 (DE-588)1140936166 (DE-588)4047979-1 (DE-588)4299578-4 |
| title | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |
| title_auth | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |
| title_exact_search | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |
| title_exact_search_txtP | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |
| title_full | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter Thorsten Gressling |
| title_fullStr | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter Thorsten Gressling |
| title_full_unstemmed | Data science in chemistry artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter Thorsten Gressling |
| title_short | Data science in chemistry |
| title_sort | data science in chemistry artificial intelligence big data chemometrics and quantum computing with jupyter |
| title_sub | artificial intelligence, Big Data, chemometrics and quantum computing with Jupyter |
| topic | Künstliche Intelligenz Massendaten Theoretische Chemie Data Mining (DE-588)4428654-5 gnd Computational chemistry (DE-588)4290091-8 gnd Chemie (DE-588)4009816-3 gnd Data Science (DE-588)1140936166 gnd Quantenchemie (DE-588)4047979-1 gnd Chemometrie (DE-588)4299578-4 gnd |
| topic_facet | Künstliche Intelligenz Massendaten Theoretische Chemie Data Mining Computational chemistry Chemie Data Science Quantenchemie Chemometrie |
| url | https://doi.org/10.1515/9783110629453 |
| work_keys_str_mv | AT gresslingthorsten datascienceinchemistryartificialintelligencebigdatachemometricsandquantumcomputingwithjupyter |