Applied unsupervised learning with Python : : discover hidden patterns and relationships in unstructured data with Python /

Applied unsupervised learning with Python : : discover hidden patterns and relationships in unstructured data with Python / / Benjamin Johnston, Aaron Jones, Christopher Kruger.

Saved in:
Bibliographic Details
VerfasserIn:
Johnston, Benjamin,
Jones, Aaron,
Kruger, Christopher,
TeilnehmendeR:
Jones, Aaron,
Kruger, Christopher,
Place / Publishing House:Birmingham, UK : : Packt Publishing,, 2019.
Year of Publication:2019
Language:English
Online Access:
Physical Description:1 online resource (483 pages)
Notes:Includes index.
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5005781350
ctrlnum (MiAaPQ)5005781350
(Au-PeEL)EBL5781350
(OCoLC)1104083695
collection bib_alma
record_format marc
spelling Johnston, Benjamin, author.
Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python / Benjamin Johnston, Aaron Jones, Christopher Kruger.
Birmingham, UK : Packt Publishing, 2019.
1 online resource (483 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Includes index.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Python (Computer program language)
Electronic books.
Jones, Aaron, author.
Kruger, Christopher, author.
Print version: Johnston, Benjamin. Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python. Birmingham, UK : Packt Publishing, 2019 483 pages 9781789952292
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5781350 Click to View
language English
format eBook
author Johnston, Benjamin,
Jones, Aaron,
Kruger, Christopher,
spellingShingle Johnston, Benjamin,
Jones, Aaron,
Kruger, Christopher,
Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /
author_facet Johnston, Benjamin,
Jones, Aaron,
Kruger, Christopher,
Jones, Aaron,
Kruger, Christopher,
author_variant b j bj
a j aj
c k ck
author_role VerfasserIn
VerfasserIn
VerfasserIn
author2 Jones, Aaron,
Kruger, Christopher,
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Johnston, Benjamin,
title Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /
title_sub discover hidden patterns and relationships in unstructured data with Python /
title_full Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python / Benjamin Johnston, Aaron Jones, Christopher Kruger.
title_fullStr Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python / Benjamin Johnston, Aaron Jones, Christopher Kruger.
title_full_unstemmed Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python / Benjamin Johnston, Aaron Jones, Christopher Kruger.
title_auth Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /
title_new Applied unsupervised learning with Python :
title_sort applied unsupervised learning with python : discover hidden patterns and relationships in unstructured data with python /
publisher Packt Publishing,
publishDate 2019
physical 1 online resource (483 pages)
isbn 9781789958379 (e-book)
9781789952292
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.73 P98 J646 42019
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5781350
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.133
dewey-sort 15.133
dewey-raw 005.133
dewey-search 005.133
oclc_num 1104083695
work_keys_str_mv AT johnstonbenjamin appliedunsupervisedlearningwithpythondiscoverhiddenpatternsandrelationshipsinunstructureddatawithpython
AT jonesaaron appliedunsupervisedlearningwithpythondiscoverhiddenpatternsandrelationshipsinunstructureddatawithpython
AT krugerchristopher appliedunsupervisedlearningwithpythondiscoverhiddenpatternsandrelationshipsinunstructureddatawithpython
status_str n
ids_txt_mv (MiAaPQ)5005781350
(Au-PeEL)EBL5781350
(OCoLC)1104083695
carrierType_str_mv cr
is_hierarchy_title Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /
author2_original_writing_str_mv noLinkedField
noLinkedField
_version_ 1792331003989065729
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01768nam a2200397 i 4500</leader><controlfield tag="001">5005781350</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">190617s2019 enk o 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781789952292</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789958379 (e-book)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5005781350</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL5781350</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1104083695</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield><subfield code="b">.J646 2019</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Johnston, Benjamin,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applied unsupervised learning with Python :</subfield><subfield code="b">discover hidden patterns and relationships in unstructured data with Python /</subfield><subfield code="c">Benjamin Johnston, Aaron Jones, Christopher Kruger.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">2019.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (483 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on print version record.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jones, Aaron,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kruger, Christopher,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Johnston, Benjamin.</subfield><subfield code="t">Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python.</subfield><subfield code="d">Birmingham, UK : Packt Publishing, 2019 </subfield><subfield code="h">483 pages </subfield><subfield code="z">9781789952292</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5781350</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>

Similar Items