Machine learning and big data: concepts, algorithms, tools and applications
"Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland sec...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2020
|
| Schlagworte: | |
| Online-Zugang: | FCO01 FHA01 FHR01 FUBA1 UBR01 UBY01 Volltext |
| Zusammenfassung: | "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"-- |
| Beschreibung: | 1 Online-Ressource (xx, 512 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781119654834 9781119654810 9781119654797 |
| DOI: | 10.1002/9781119654834 |
Internformat
MARC
| LEADER | 00000nmm a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV047828702 | ||
| 003 | DE-604 | ||
| 005 | 20240416 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220209s2020 xxu|||| o||u| ||||||eng d | ||
| 020 | |a 9781119654834 |c Online |9 978-1-119-65483-4 | ||
| 020 | |a 9781119654810 |c EBook, PDF |9 978-1-119-65481-0 | ||
| 020 | |a 9781119654797 |c EBook, EPUB |9 978-1-119-65479-7 | ||
| 024 | 7 | |a 10.1002/9781119654834 |2 doi | |
| 035 | |a (ZDB-35-WIC)9781119654834 | ||
| 035 | |a (OCoLC)1296307906 | ||
| 035 | |a (DE-599)KEP059564121 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-706 |a DE-188 |a DE-858 |a DE-355 |a DE-898 |a DE-Aug4 | ||
| 050 | 0 | |a Q325.5 | |
| 082 | 0 | |a 006.3/1 | |
| 245 | 1 | 0 | |a Machine learning and big data |b concepts, algorithms, tools and applications |c edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2020 | |
| 300 | |a 1 Online-Ressource (xx, 512 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | 3 | |a "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"-- | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Big data | |
| 653 | 0 | |a Big data | |
| 653 | 0 | |a Machine learning | |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Dulhare, Uma N. |0 (DE-588)1221539647 |4 edt | |
| 700 | 1 | |a Ahmad, Khaleel |0 (DE-588)1189076055 |4 edt | |
| 700 | 1 | |a Ahmad, Khairol Amali bin |0 (DE-588)1221540726 |4 edt | |
| 710 | 2 | |a John Wiley & Sons, Ltd |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-1-119-65474-2 |
| 856 | 4 | 0 | |u https://doi.org/10.1002/9781119654834 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-35-WIC |a ZDB-35-UBC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033211980 | ||
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834 |l FCO01 |p ZDB-35-WIC |q FCO_PDA_WIC_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834 |l FHA01 |p ZDB-35-WIC |q FHA_PDA_WIC_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1002/9781119654834 |l FHR01 |p ZDB-35-WIC |q FHR_PDA_WIC_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834 |l FUBA1 |p ZDB-35-WIC |q ZDB-35-WIC 2021 |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834 |l UBR01 |p ZDB-35-UBC |q UBR EBS Auswahl 2022 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1002/9781119654834 |l UBY01 |p ZDB-35-WIC |q UBY_PDA_WIC_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804183375526756352 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Dulhare, Uma N. Ahmad, Khaleel Ahmad, Khairol Amali bin |
| author2_role | edt edt edt |
| author2_variant | u n d un und k a ka k a b a kab kaba |
| author_GND | (DE-588)1221539647 (DE-588)1189076055 (DE-588)1221540726 |
| author_facet | Dulhare, Uma N. Ahmad, Khaleel Ahmad, Khairol Amali bin |
| building | Verbundindex |
| bvnumber | BV047828702 |
| callnumber-first | Q - Science |
| callnumber-label | Q325 |
| callnumber-raw | Q325.5 |
| callnumber-search | Q325.5 |
| callnumber-sort | Q 3325.5 |
| callnumber-subject | Q - General Science |
| collection | ZDB-35-WIC ZDB-35-UBC |
| ctrlnum | (ZDB-35-WIC)9781119654834 (OCoLC)1296307906 (DE-599)KEP059564121 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1002/9781119654834 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03615nmm a22006011c 4500</leader><controlfield tag="001">BV047828702</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240416 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220209s2020 xxu|||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119654834</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-119-65483-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119654810</subfield><subfield code="c">EBook, PDF</subfield><subfield code="9">978-1-119-65481-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119654797</subfield><subfield code="c">EBook, EPUB</subfield><subfield code="9">978-1-119-65479-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/9781119654834</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-35-WIC)9781119654834</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1296307906</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP059564121</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-Aug4</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">Q325.5</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning and big data</subfield><subfield code="b">concepts, algorithms, tools and applications</subfield><subfield code="c">edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">Wiley</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xx, 512 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</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="520" ind1="3" ind2=" "><subfield code="a">"Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dulhare, Uma N.</subfield><subfield code="0">(DE-588)1221539647</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ahmad, Khaleel</subfield><subfield code="0">(DE-588)1189076055</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ahmad, Khairol Amali bin</subfield><subfield code="0">(DE-588)1221540726</subfield><subfield code="4">edt</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">John Wiley & Sons, Ltd</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-1-119-65474-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1002/9781119654834</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-35-WIC</subfield><subfield code="a">ZDB-35-UBC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033211980</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834</subfield><subfield code="l">FCO01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">FCO_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">FHA_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1002/9781119654834</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">FHR_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834</subfield><subfield code="l">FUBA1</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">ZDB-35-WIC 2021</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119654834</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-35-UBC</subfield><subfield code="q">UBR EBS Auswahl 2022</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1002/9781119654834</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">UBY_PDA_WIC_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047828702 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:08:45Z |
| indexdate | 2024-07-10T09:22:27Z |
| institution | BVB |
| isbn | 9781119654834 9781119654810 9781119654797 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033211980 |
| oclc_num | 1296307906 |
| open_access_boolean | |
| owner | DE-706 DE-188 DE-858 DE-355 DE-BY-UBR DE-898 DE-BY-UBR DE-Aug4 |
| owner_facet | DE-706 DE-188 DE-858 DE-355 DE-BY-UBR DE-898 DE-BY-UBR DE-Aug4 |
| physical | 1 Online-Ressource (xx, 512 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-35-WIC ZDB-35-UBC ZDB-35-WIC FCO_PDA_WIC_Kauf ZDB-35-WIC FHA_PDA_WIC_Kauf ZDB-35-WIC FHR_PDA_WIC_Kauf ZDB-35-WIC ZDB-35-WIC 2021 ZDB-35-UBC UBR EBS Auswahl 2022 ZDB-35-WIC UBY_PDA_WIC_Kauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Wiley |
| record_format | marc |
| spelling | Machine learning and big data concepts, algorithms, tools and applications edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad Hoboken, NJ Wiley 2020 1 Online-Ressource (xx, 512 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"-- Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Machine learning Big data Maschinelles Lernen (DE-588)4193754-5 s Big Data (DE-588)4802620-7 s DE-604 Dulhare, Uma N. (DE-588)1221539647 edt Ahmad, Khaleel (DE-588)1189076055 edt Ahmad, Khairol Amali bin (DE-588)1221540726 edt John Wiley & Sons, Ltd pbl Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-65474-2 https://doi.org/10.1002/9781119654834 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Machine learning and big data concepts, algorithms, tools and applications Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4802620-7 |
| title | Machine learning and big data concepts, algorithms, tools and applications |
| title_auth | Machine learning and big data concepts, algorithms, tools and applications |
| title_exact_search | Machine learning and big data concepts, algorithms, tools and applications |
| title_exact_search_txtP | Machine learning and big data concepts, algorithms, tools and applications |
| title_full | Machine learning and big data concepts, algorithms, tools and applications edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad |
| title_fullStr | Machine learning and big data concepts, algorithms, tools and applications edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad |
| title_full_unstemmed | Machine learning and big data concepts, algorithms, tools and applications edited by Uma N. Dulhare, Khaleel Ahmad and Khairol Amali Bin Ahmad |
| title_short | Machine learning and big data |
| title_sort | machine learning and big data concepts algorithms tools and applications |
| title_sub | concepts, algorithms, tools and applications |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Maschinelles Lernen Big Data |
| url | https://doi.org/10.1002/9781119654834 |
| work_keys_str_mv | AT dulhareuman machinelearningandbigdataconceptsalgorithmstoolsandapplications AT ahmadkhaleel machinelearningandbigdataconceptsalgorithmstoolsandapplications AT ahmadkhairolamalibin machinelearningandbigdataconceptsalgorithmstoolsandapplications AT johnwileysonsltd machinelearningandbigdataconceptsalgorithmstoolsandapplications |