Mastering Reinforcement Learning with Python: build next-generation, self-learning models using reinforcement learning techniques and best practices
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
December 2020
|
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online-Zugang: | DE-Aug4 DE-573 DE-91 DE-355 DE-706 |
| Beschreibung: | 1 Online-Ressource (xvi, 520 Seiten) Illustrationen |
| ISBN: | 9781838644147 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047686978 | ||
| 003 | DE-604 | ||
| 005 | 20250113 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220118s2020 xx a||| o|||| 00||| eng d | ||
| 020 | |a 9781838644147 |c Online, pdf |9 978-1-83864-414-7 | ||
| 035 | |a (OCoLC)1310249774 | ||
| 035 | |a (DE-599)BVBBV047686978 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-11 |a DE-706 |a DE-Aug4 |a DE-91 |a DE-355 | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Bilgin, Enes |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Mastering Reinforcement Learning with Python |b build next-generation, self-learning models using reinforcement learning techniques and best practices |c Enes Bilgin |
| 250 | |a 1st edition | ||
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c December 2020 | |
| 300 | |a 1 Online-Ressource (xvi, 520 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Operante Konditionierung |0 (DE-588)4172613-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 2 | |a Operante Konditionierung |0 (DE-588)4172613-3 |D s |
| 689 | 0 | 3 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-83864-414-7 |
| 912 | |a ebook | ||
| 912 | |a ZDB-221-PDA | ||
| 912 | |a ZDB-221-PPK | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033070995 | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005790.html |l DE-Aug4 |p ZDB-221-PPK |q FHA_PDA_PPK_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005790.html |l DE-573 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005790.html |l DE-91 |p ZDB-221-PPK |q TUM_PDA_PPK_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005790.html |l DE-355 |p ZDB-221-PDA |q UBR Paketkauf 2021 |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005790.html |l DE-706 |p ZDB-221-PDA |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1821131213806501888 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Bilgin, Enes |
| author_facet | Bilgin, Enes |
| author_role | aut |
| author_sort | Bilgin, Enes |
| author_variant | e b eb |
| building | Verbundindex |
| bvnumber | BV047686978 |
| classification_rvk | ST 250 ST 300 |
| collection | ebook ZDB-221-PDA ZDB-221-PPK |
| ctrlnum | (OCoLC)1310249774 (DE-599)BVBBV047686978 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | 1st edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV047686978</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250113</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220118s2020 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838644147</subfield><subfield code="c">Online, pdf</subfield><subfield code="9">978-1-83864-414-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1310249774</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047686978</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-573</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-355</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bilgin, Enes</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mastering Reinforcement Learning with Python</subfield><subfield code="b">build next-generation, self-learning models using reinforcement learning techniques and best practices</subfield><subfield code="c">Enes Bilgin</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">December 2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xvi, 520 Seiten)</subfield><subfield code="b">Illustrationen</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="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Operante Konditionierung</subfield><subfield code="0">(DE-588)4172613-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><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="2"><subfield code="a">Operante Konditionierung</subfield><subfield code="0">(DE-588)4172613-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" 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">978-1-83864-414-7</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PDA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PPK</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033070995</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005790.html</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-221-PPK</subfield><subfield code="q">FHA_PDA_PPK_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005790.html</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005790.html</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-221-PPK</subfield><subfield code="q">TUM_PDA_PPK_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005790.html</subfield><subfield code="l">DE-355</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">UBR Paketkauf 2021</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005790.html</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047686978 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:56:53Z |
| indexdate | 2025-01-13T11:01:05Z |
| institution | BVB |
| isbn | 9781838644147 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033070995 |
| oclc_num | 1310249774 |
| open_access_boolean | |
| owner | DE-573 DE-11 DE-706 DE-Aug4 DE-91 DE-BY-TUM DE-355 DE-BY-UBR |
| owner_facet | DE-573 DE-11 DE-706 DE-Aug4 DE-91 DE-BY-TUM DE-355 DE-BY-UBR |
| physical | 1 Online-Ressource (xvi, 520 Seiten) Illustrationen |
| psigel | ebook ZDB-221-PDA ZDB-221-PPK ZDB-221-PPK FHA_PDA_PPK_Kauf ZDB-221-PPK TUM_PDA_PPK_Kauf ZDB-221-PDA UBR Paketkauf 2021 |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt |
| record_format | marc |
| spelling | Bilgin, Enes Verfasser aut Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin 1st edition Birmingham ; Mumbai Packt December 2020 1 Online-Ressource (xvi, 520 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Operante Konditionierung (DE-588)4172613-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s Operante Konditionierung (DE-588)4172613-3 s Python Programmiersprache (DE-588)4434275-5 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-83864-414-7 |
| spellingShingle | Bilgin, Enes Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices Künstliche Intelligenz (DE-588)4033447-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Operante Konditionierung (DE-588)4172613-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4434275-5 (DE-588)4172613-3 (DE-588)4193754-5 |
| title | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices |
| title_auth | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices |
| title_exact_search | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices |
| title_exact_search_txtP | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices |
| title_full | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin |
| title_fullStr | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin |
| title_full_unstemmed | Mastering Reinforcement Learning with Python build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin |
| title_short | Mastering Reinforcement Learning with Python |
| title_sort | mastering reinforcement learning with python build next generation self learning models using reinforcement learning techniques and best practices |
| title_sub | build next-generation, self-learning models using reinforcement learning techniques and best practices |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Operante Konditionierung (DE-588)4172613-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Künstliche Intelligenz Python Programmiersprache Operante Konditionierung Maschinelles Lernen |
| work_keys_str_mv | AT bilginenes masteringreinforcementlearningwithpythonbuildnextgenerationselflearningmodelsusingreinforcementlearningtechniquesandbestpractices |